ليست عنوان مقالات لاتين فني مهندسي Predicting operational behaviour of abstract programs during formal developments Predicting wind driven wild land fire shape using fuzzy logic in cellular automata

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1

Predicting operational behaviour of abstract programs during formal developments

2

Predicting opponent actions in the RoboSoccer

3

Predicting Opponents Offers in Multi-agent Negotiations Using ARTMAP Neural Network

4

Predicting Optimal Power Allocation for CPU and DRAM Domains

5

Predicting optimal process conditions for flip-chip assembly using copper column bumped dies

6

Predicting Optimal Thread Quantity for SpMV Computation on Multi-core Platform

7

Predicting Optocoupler Life with Radiation Damage in Various Circuits

8

Predicting organizational performance using information technology managerial control ratios

9

Predicting osseous changes in ankle fractures

10

Predicting outcome for hospitalized cardiac patients using a combined neural network and rough set approach

11

Predicting Outcomes of Nonsmall Cell Lung Cancer Using CT Image Features

12

Predicting Overtemperature Events in Graphics Cards Using Regression Models

13

Predicting Oxide Failure Rates using the Matrix of a 64K DRAM Chip

14

Predicting oxide reliability from in line process statistical reliability control

15

Predicting oxygen saturation levels in blood using autoregressive models: A threshold metric for evaluating predictive models

16

Predicting packet-loss visibility using scene characteristics

17

Predicting parallel applications performance using signatures: The workload effect

18

Predicting parallel computer speedup for array processing applications in simulation

19

Predicting Parallelization of Sequential Programs Using Supervised Learning

20

Predicting Parameter Sweep Jobs: From Simulation to Grid Implementation

21

Predicting Parameters of Nature Oil Reservoir Using General Regression Neural Network

22

Predicting parasitics and inductive coupling in EMI-filters

23

Predicting Parathyroid Hormone Levels in Diabetic Hemodialysis Patients Using Neural Networks

24

Predicting Pareto Dominance in Multi-objective Optimization Using Pattern Recognition

25

Predicting Parking Lot Occupancy in Vehicular Ad Hoc Networks

26

Predicting Parkinson´s disease related genes using frequent gene co-expression analysis

27

Predicting path quality with cross-layer information in multi-hop wireless networks

28

Predicting Patient Outcomes from a Few Hours of High Resolution Vital Signs Data

29

Predicting patient risk of readmission with frailty models in the Department of Veteran Affairs

30

Predicting Patients Likely to Overstay in Hospitals

31

Predicting patients survival using supervised techniques

32

Predicting patterns in lateral inhibition systems via graph partitioning

33

Predicting patterns in time using a modified back propagation neural network

34

Predicting patterns of epicardial potentials during ventricular fibrillation

35

Predicting Pedestrian Counts in Crowded Scenes With Rich and High-Dimensional Features

36

Predicting peer interactions for opportunistic information dissemination protocols

37

Predicting pelvic trauma severity using features extracted from records and X-ray and CT images

38

Predicting Penetration Across the Blood-Brain Barrier A Rough Set Approach

39

Predicting Peptide Binders of Flexible Lengths with Genetic Annealing Algorithm

40

Predicting peptide bond conformation using feature selection and the Naive Bayes approach

41

Predicting Perceived Visual and Cognitive Distractions of Drivers With Multimodal Features

42

Predicting perceptual suppression from local field potential in visual cortex

43

Predicting performability of a fault-tolerant microcomputer for process control

44

Predicting performance from test scores using backpropagation and counterpropagation

45

Predicting Performance Impact of DVFS for Realistic Memory Systems

46

Predicting Performance in an Introductory Programming Course by Logging and Analyzing Student Programming Behavior

47

Predicting performance in the presence of software and hardware resource bottlenecks

48

Predicting performance of face recognition systems: An image characterization approach

49

Predicting Performance of Hybrid Master/Worker Applications Using Model-Based Regression Trees

50

Predicting performance of micropipelines using Charlie diagrams

51

Predicting Performance of Multi-Agent systems during feasibility study

52

Predicting performance of object recognition

53

Predicting performance of parallel computations

54

Predicting performance of power converters operating with switching frequencies in the vicinity of 100 kHz

55

Predicting Performance of Resolution Changes in Parallel Simulations

56

Predicting performance of software systems during feasibility study of software project management

57

Predicting performance of three-phase induction motors connected to single-phase supplies

58

Predicting Performance on a Loosely Controlled Event System

59

Predicting performance on SMPs. A case study: the SGI Power Challenge

60

Predicting performance potential of modern DSPs

61

Predicting performance via automated feature-interaction detection

62

Predicting period-doubling bifurcations and multiple oscillations in nonlinear time-delayed feedback systems

63

Predicting period-doubling bifurcations in nonlinear time-delayed feedback systems

64

Predicting Peroxisomal Proteins

65

Predicting person´s Zheng states using the heterogeneous sensor data by the semi-subjective teaching of TCM doctors

66

Predicting personal information behaviors with lifelog data

67

Predicting Personality from Twitter

68

Predicting Personality on Social Media with Semi-supervised Learning

69

Predicting Personality with Social Behavior

70

Predicting phase noise in crystal oscillators

71

Predicting phase noise in crystal oscillators

72

Predicting Phishing Websites Using Classification Mining Techniques with Experimental Case Studies

73

Predicting phosphene elicitation in patients with retinal implants: A mathematical study

74

Predicting photovoltaic connector lifetime

75

Predicting Phrase-Level Tags Using Entropy Inspired Discriminative Models

76

Predicting physical processes in the presence of faulty sensor readings

77

Predicting pilot look-angle with a radial basis function network

78

Predicting Pilot Ratings of Multi-Axis Control Tasks from Single-Axis Data

79

Predicting pipelining and caching behaviour of hard real-time programs

80

Predicting Pixel Defect Rates Based on Image Sensor Parameters

81

Predicting Plant Pol-II Promoter Based on Subsequence Increment of Overlap Content Diversity

82

Predicting plasma charging damage in ultra thin gate oxide by using nondestructive DCIV technique

83

Predicting plated-through-hole reliability in high temperature manufacturing processes

84

Predicting player behavior in Tomb Raider: Underworld

85

Predicting player churn in the wild

86

Predicting player disengagement and first purchase with event-frequency based data representation

87

Predicting POI visits with a heterogeneous information network

88

Predicting political preference of Twitter users

89

Predicting Polyp Location on Optical Colonoscopy From CT Colonography by Minimal-Energy Curve Modeling of the Colonoscope Path

90

Predicting Popularity and Adapting Replication of Internet Videos for High-Quality Delivery

91

Predicting Popularity of Forum Threads for Public Events Security

92

Predicting possible landcover changes in the coral islands of Gulf Mannar due to climate change induced sea-level rise- a remote sensing based study

93

Predicting post-contingency stability margin using synchrophasors

94

Predicting Postoperative Acute Respiratory Failure in critical care using nursing notes and physiological signals

95

Predicting post-release defects using pre-release field testing results

96

Predicting Post-rolling Flatness by Statistical Analysis

97

Predicting post-treatment survivability of patients with breast cancer using Artificial Neural Network methods

98

Predicting potential disease-related genes using the network topological features

99

Predicting potential distribution for cold-water coral based on GIS and MaxEnt

100

Predicting potential of 4H-SiC power devices over 10 kV

101

Predicting potential performance for digital circuits

102

Predicting Potential Speedup of Serial Code via Lightweight Profiling and Emulations with Memory Performance Model

103

Predicting power factor and other input parameters for switching power supplies

104

Predicting power output of photovoltaic systems with solar radiation model

105

Predicting power transfer between large aperture antennas at close separations

106

Predicting practical benefits of dynamic asset ratings of 33KV distribution transformers

107

Predicting Preference Judgments of Individual Normal and Hearing-Impaired Listeners With Gaussian Processes

108

Predicting preferred topics of authors based on co-authorship network

109

Predicting Prefix Availability in the Internet

110

Predicting preterm birth using artificial neural networks

111

Predicting price of target in acquisition by support vector machine

112

Predicting Price of Target of Acquisitions Based on RBF Neural Network

113

Predicting price trends in Henan Province during the period of the twelfth five-year plan based on grey fuzzy theory

114

Predicting price-tag for customized goods

115

Predicting Primary Gaze Behavior Using Social Saliency Fields

116

Predicting printability of WSPs through rheological characterization

117

Predicting privacy settings with a user-centered approach

118

Predicting probabilistic wind power generation using nonparametric techniques

119

Predicting Probability of Mortality in the Neonatal Intensive Care Unit

120

Predicting process evolution with a neural network. A window on relevant data

121

Predicting processor performance with a machine learnt model

122

Predicting Program Behavior Based On Objective Function Minimization

123

Predicting program guides for video structuring

124

Predicting programming group productivity a communications model

125

Predicting Project Outcome Leveraging Socio-Technical Network Patterns

126

Predicting Project Portfolio Success by Measuring Management Quality—A Longitudinal Study

127

Predicting project risk from architecture reviews

128

Predicting project success using ANN-ensemble classificaiton models

129

Predicting Project Velocity in XP Using a Learning Dynamic Bayesian Network Model

130

Predicting propagation path and strength of wireless signals in Microcell Scenarios

131

Predicting Properties of Congestion Events for a Queueing System With fBm Traffic

132

Predicting Properties of Distillation Control Structures

133

Predicting prosodic words from lexical words - a first step towards predicting prosody from text

134

Predicting prostate cancer progression with penalized logistic regression model based on co-expressed genes

135

Predicting Protective Linear B-Cell Epitopes Using Evolutionary Information

136

Predicting protein cellular localization sites with a hardware analog neural network

137

Predicting protein complexes in protein interaction networks: A supervised learning based method

138

Predicting protein complexes via the integration of multiple biological information

139

Predicting protein crystallization using a simple scoring card method

140

Predicting protein folding cores based on complex network and phylogenetic analyses

141

Predicting Protein Folding Rates Using Pseudo Amino Acid Composition

142

Predicting Protein Function Based on Genomic Data Mining

143

Predicting Protein Function by Frequent Functional Association Pattern Mining in Protein Interaction Networks

144

Predicting Protein Function by Multi-Label Correlated Semi-Supervised Learning

145

Predicting protein function from biomedical text

146

Predicting Protein Function Using Multiple Kernels

147

Predicting Protein Interactions by Considering Fuzzy Similarity between Disease Phenotypes

148

Predicting protein localization using a domain adaptation na¨ıve Bayes classifier with burrows wheeler transform features

149

Predicting Protein Phosphorylation Sites with Neuralgenetic Network Algorithm

150

Predicting Protein Relationships to Human Pathways through a Relational Learning Approach Based on Simple Sequence Features

151

Predicting Protein Secondary Structure Based on Compound Pyramid Model

152

Predicting protein secondary structure using continuous wavelet transform and Chou-Fasman method

153

Predicting Protein Structural Class Based on Ensemble Binary Classification

154

Predicting protein structural class based on hidden Markov models

155

Predicting protein structural class with Ensemble of Flexible Neural Tree

156

Predicting protein structural classes with autoencoder neural networks

157

Predicting protein structural classes with pseudo amino acid composition: A new approach using geometric moments of distance matrix image

158

Predicting Protein Subcelluar Localizations Using Weighted Euclidian Distance

159

Predicting protein subcellular localization based on a semi-supervised algorithm

160

Predicting Protein Subcellular Localization: A Multiobjective PSO-based Feature Subset Selection from Amino Acid Sequence of Protein

161

Predicting Protein Subcellular Localizations for Gram-Negative Bacteria Using DP-PSSM and Support Vector Machines

162

Predicting protein subcellular location based on improved quadratic discriminant

163

Predicting protein subcellular locations for Gram-negative bacteria using neural networks ensemble

164

Predicting Protein-Ligand Binding Site Using Support Vector Machine with Protein Properties

165

Predicting protein-ligand binding site with differential evolution and support vector machine

166

Predicting protein-ligand binding site with support vector machine

167

Predicting protein-ligand binding specificity based on ensemble clustering

168

Predicting protein-protein binding sites by a support vector machine approach

169

Predicting Protein-Protein Interaction Based on Fisher Scores Extracted from Domain Profiles

170

Predicting Protein-Protein Interaction Sites using Radial Basis Function Neural Networks

171

Predicting Protein-Protein Interaction Sites with a Novel Membership Based Fuzzy SVM Classifier

172

Predicting Protein-protein interaction using co-occurring Aligned Pattern Clusters

173

Predicting protein-protein interactions based on BP neural network

174

Predicting protein-protein interactions based on protein-domain relationships

175

Predicting Protein-Protein Interactions from Protein Domains Using a Set Cover Approach

176

Predicting protein-protein interactions in E. coli using machine learning methods

177

Predicting Protein-Protein Interactions Using Correlation Coefficient and Principle Component Analysis

178

Predicting protein-protein interactions using full Bayesian network

179

Predicting protein-protein interactions using numerical associational features

180

Predicting Protein-Protein Interactions with Pseudo Amino Acid Composition

181

Predicting Protein-Protein Interface using Desolvation Energy Similarity Matching

182

Predicting Protein-Protein Recognition Using Feature Vector

183

Predicting protein-RNA residue-base contacts using two-dimensional conditional random field

184

Predicting Purchase Decisions Based on Spatio-Temporal Functional MRI Features Using Machine Learning

185

Predicting purchase preferences using semi-supervised one-class SVM with graph kernels

186

Predicting Pure Amnestic Mild Cognitive Impairment Conversion to Alzheimer´s Disease Using Joint Modeling of Imaging and Clinical Data

187

Predicting Putative Target Genes of Activator Protein 1 Based on the dsDNA Microarray Data

188

Predicting PV module characteristics with outdoor measurements: Modeling improvements

189

Predicting QoS Characteristics on Wireless Networks

190

Predicting QoS in LTE HetNets based on location-independent UE measurements

191

Predicting QoS Values via Multi-dimensional QoS Data for Web Service Recommendations

192

Predicting quadriceps muscle activity during gait with an automatic rule determination method

193

Predicting Qualitative Assessments Using Fuzzy Aggregation

194

Predicting quality measures in beef cattle using ultrasound imaging

195

Predicting Quality of Object-Oriented Systems through a Quality Model Based on Design Metrics and Data Mining Techniques

196

Predicting Quality of River´s Water Based on Algae Composition Using Artificial Neural Network

197

Predicting Quality of Service for Selection by Neighborhood-Based Collaborative Filtering

198

Predicting quality of service for traffic with long-range fluctuations

199

Predicting Quality of Web Service using IKS hybrid model

200

Predicting Query Duplication with Box-Jenkins Models and Its Applications

201

Predicting query execution time: Are optimizer cost models really unusable?

202

Predicting Query Performance in Domain-Specific Corpora

203

Predicting Queue Ssize to Avoid Message Loses in Service Discovery Protocols

204

Predicting queue times on space-sharing parallel computers

205

Predicting radiation response from process parameters: Verification of a physically based predictive model

206

Predicting radio refractivity using a stochastic model

207

Predicting Radio Resource Availability in Cognitive Radio - an Experimental Examination

208

Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming

209

Predicting random jitter - Exploring the current simulation techniques for predicting the noise in oscillator, clock, and timing circuits

210

Predicting Range of Acceptable Photographic Tonal Adjustments

211

Predicting range point response from chirp non-linearity

212

Predicting rare events in temporal domains

213

Predicting reach goal in a continuous workspace for command of a brain-controlled upper-limb neuroprosthesis

214

Predicting Reaching Targets from Human EEG

215

Predicting Readmission Risk with Institution Specific Prediction Models

216

Predicting real characteristics of boost zero-voltage switching quasi-resonant converters

217

Predicting real-time behaviour for data flow computations

218

Predicting real-time properties of component assemblies: a scenario-simulation approach

219

Predicting Real-Time Roadside CO and $\\hbox {NO}_{2}$ Concentrations Using Neural Networks

220

Predicting real-time service-level metrics from device statistics

221

Predicting real-world performance for key parameters in a CDMA cellular system

222

Predicting Reassignments of Bug Reports - An Exploratory Investigation

223

Predicting Reciprocity in Social Networks

224

Predicting reconstruction quality within compressive sensing for atomic force microscopy

225

Predicting recurring crash stacks

226

Predicting Reduced Driver Alertness on Monotonous Highways

227

Predicting refibrillation from pre-shock waveforms in optimizing cardiac resuscitation

228

Predicting regulation for a multiple-output current-mode controlled DC-to-DC converter

229

Predicting relations in news-media content among EU countries

230

Predicting Release Quality

231

Predicting Release Time Based on Generalized Software Reliability Model (GSRM)

232

Predicting Release Time for Open Source Software Based on the Generalized Software Reliability Model

233

Predicting Reliability Improvements

234

Predicting reliability in design of complex systems with common-cause failures and time-varying failure rates

235

Predicting reliability investment to achieve given reliability improvement

236

Predicting reliability via neural networks

237

Predicting remaining discharge time of a Lithium-ion battery by using residual capacity and workload

238

Predicting Remaining Useful Life Based on the Failure Time Data with Heavy-Tailed Behavior and User Usage Patterns Using Proportional Hazards Model

239

Predicting remaining useful life of an individual unit using proportional hazards model and logistic regression model

240

Predicting Remaining Useful Life of high speed milling cutters based on Artificial Neural Network

241

Predicting Re-opened Bugs: A Case Study on the Eclipse Project

242

Predicting research of mechanical gyroscope life based on wavelet support vector

243

Predicting Researchers´ Future Activities Using Visualization System for Co-authorship Networks

244

Predicting Reservoir Permeability That Improved through Explosion Fracturing by Means of Artificial Neural Network

245

Predicting residual stress characteristics based on BP artificial neural network in precision hard turning

246

Predicting Resource Allocation and Costs for Business Processes in the Cloud

247

Predicting Resource Demand in Dynamic Utility Computing Environments

248

Predicting resource demand in heterogeneous active networks

249

Predicting resource demand profiles by periodicity mining

250

Predicting respiratory instability in the ICU

251

Predicting respiratory motion for active canceling during percutaneous needle insertion

252

Predicting response times for the Spotify backend

253

Predicting Response Times of Applications in Virtualized Environments

254

Predicting result quality in Crowdsourcing using application layer monitoring

255

Predicting return-on-investment for product line generations

256

Predicting Retweet Scale Using Log-Normal Distribution

257

Predicting reuse of end-user web macro scripts

258

Predicting RF path loss in forests using satellite measurements of vegetation indices

259

Predicting Risk as a Function of Risk Factors

260

Predicting risk in missions under sea ice with Autonomous Underwater Vehicles

261

Predicting risk of complications following a drug eluting stent procedure: A SVM approach for imbalanced data

262

Predicting risk of pre-release code changes with Checkinmentor

263

Predicting Risk Parameters Using Intelligent Fuzzy/Logistic Regression

264

Predicting risks of capital flow using artificial neural network and Levenberg Marquardt algorithm

265

Predicting RNA secondary structure with Tabu Search

266

Predicting RNA secondary structures with arbitrary pseudoknots by maximizing the number of stacking pairs

267

Predicting RNA-protein interactions using a novel method

268

Predicting ROC curves for source detection under model mismatch

269

Predicting rotational flux distributions in three phase induction motor stators

270

Predicting rotor´s stability using fractional Brownian motion and Hurst index

271

Predicting route lifetime for maximizing network lifetime in MANET

272

Predicting route targets based on optimality considerations

273

Predicting rTMS effect for deciding stimulation parameters

274

Predicting runaway reaction in PVC batch process using Support Vector Machine

275

Predicting Running Time of Grid Tasks based on CPU Load Predictions

276

Predicting Runtime Performance Bounds of Expanded Parallel Discrete Event Simulations

277

Predicting saliency using two contextual priors: The dominant depth and the horizon line

278

Predicting scalability of parallel garbage collectors on shared memory multiprocessors

279

Predicting Scan Compression IP Configurations for Better QoR

280

Predicting scattering of electromagnetic fields using FD-TD on a Connection Machine

281

Predicting Scheduling Failures in the Cloud: A Case Study with Google Clusters and Hadoop on Amazon EMR

282

Predicting School Failure and Dropout by Using Data Mining Techniques

283

Predicting sea ice conditions for marine operations in ice-covered waters

284

Predicting Seabed Burial of Cylinders by Wave-Induced Scour: Application to the Sandy Inner Shelf Off Florida and Massachusetts

285

Predicting secondary structures of proteins

286

Predicting segmentation errors in an iris recognition system

287

Predicting seismic aftershocks using a neural network

288

Predicting self-organization in DC glow microdischarges in different gases with the use of COMSOL Multiphysics

289

Predicting sensation of depth in 3D video

290

Predicting Sensitive Relationships from Email Corpus

291

Predicting septic shock outcomes in a database with missing data using fuzzy modeling: Influence of pre-processing techniques on real-world data-based classification

292

Predicting Sequences of Clinical Events by Using a Personalized Temporal Latent Embedding Model

293

Predicting Service Composition Costs with Complex Cost Behavior

294

Predicting service delivery cost for non-standard service level agreements

295

Predicting Service Execution Time towards a Runtime Monitoring Approach

296

Predicting service life of bypass diodes in photovoltaic modules

297

Predicting Service Mashup Candidates Using Enhanced Syntactical Message Management

298

Predicting service metrics for cluster-based services using real-time analytics

299

Predicting servomechanism dynamic errors from frequency response measurements

300

Predicting servomechanism dynamic performance variation from limited production test data

301

Predicting SET50 stock prices using CARIMA (Cross Correlation ARIMA)

302

Predicting severity of Parkinson´s disease from speech

303

Predicting shading of photovoltaic systems with cell-level resolution

304

Predicting Shaft Proximity Probe Track Runout on API Motors and Generators

305

Predicting shaft torque amplification

306

Predicting shapes of hysteresis loops on the output of tunable external-cavity semiconductor lasers

307

Predicting Ship Behavior Navigating through Heavily Trafficked Fairways by Analyzing AIS Data on Apache HBase

308

Predicting short 802.11 sessions from RADIUS usage data

309

Predicting short and long term financial trends

310

Predicting short circuit current of single junction and multi-junction solar cells at low temperature for planetary missions

311

Predicting short circuit power from timing models

312

Predicting short interval tracking polls with online social media

313

Predicting short-term coke price by neural network—semiparametric model

314

Predicting short-term coke price by nonlinear semiparametric regression method

315

Predicting Short-Term Traffic Flow by Long Short-Term Memory Recurrent Neural Network

316

Predicting Shot Locations in Tennis Using Spatiotemporal Data

317

Predicting shrimp protein-protein interactions and gene ontology terms using association rule and semantic similarity calculation

318

Predicting Signal Degeneration and Gate Compatibility in Logic Circuits

319

Predicting signal Distortion in a Trunk Waveguide Communication System

320

Predicting signal peptide and its cleavage site by using GA-optimized position weight matrices

321

Predicting Signal Peptides and Their Cleavage Sites Using Support Vector Machines and Improved Position Weight Matrixes

322

Predicting Single Event Upsets in the Earth´s Proton Belts

323

Predicting Single Genes Related to Immune-Relevant Processes

324

Predicting SINR conditions in mobile MIMO-OFDM systems by interpolation techniques

325

Predicting skill from gameplay input to a first-person shooter

326

Predicting Skill-Based Task Performance and Learning with fMRI Motor and Subcortical Network Connectivity

327

Predicting slice loss distortion in H.264/AVC video for low complexity data prioritization

328

Predicting slippage and learning manipulation affordances through Gaussian Process regression

329

Predicting slowdown for networked workstations

330

Predicting Small Target Detection Performance of Low-SNR Airborne Lidar

331

Predicting Small-Scale Fading Distributions with Finite-Difference Methods in Indoor-to-Outdoor Scenarios

332

Predicting smart home lighting behavior from sensors and user input using very fast decision tree with Kernel Density Estimation and improved Laplace correction

333

Predicting Social Links for New Users across Aligned Heterogeneous Social Networks

334

Predicting Social Network Measures Using Machine Learning Approach

335

Predicting social networks and psychological outcomes through mobile phone sensing

336

Predicting social ties in mobile phone networks

337

Predicting social trends from non-photographic images on Twitter

338

Predicting Soft Tissue Deformation Based on an Improved Biomechanical Model

339

Predicting Software Anomalies Using Machine Learning Techniques

340

Predicting software black-box defects using stacked generalization

341

Predicting software complexity by means of evolutionary testing

342

Predicting software defects: A cost-sensitive approach

343

Predicting software development errors using software complexity metrics

344

Predicting software errors, during development, using nonlinear regression models: a comparative study

345

Predicting software escalations with maximum ROI

346

Predicting Software Field Reliability

347

Predicting Software Maintenance effort using neural networks

348

Predicting software reliability

349

Predicting Software Reliability with Support Vector Machines

350

Predicting Software Service Availability: Towards a Runtime Monitoring Approach

351

Predicting software stability using case-based reasoning

352

Predicting software suitability using a Bayesian belief network

353

Predicting software´s minimum-time-to-hazard and mean-time-to-hazard for rare input events

354

Predicting soil erosion in sloping Hilly Areas of Central Sichuan based on SVM model

355

Predicting Soil Erosion Process Based on RS&GIS

356

Predicting soil infiltration rate using Artificial Neural Network

357

Predicting Soil Organic Carbon Dynamics Under Various Scenarios using Data Assimilation Strategy: a Case Study in the North China Plain

358

Predicting Soil Salt Content Over Partially Vegetated Surfaces Using Non-Negative Matrix Factorization

359

Predicting solar generation from weather forecasts using machine learning

360

Predicting solar power output using complex fuzzy logic

361

Predicting solder joint reliability for thermal, power, and bend cycle within 25% accuracy

362

Predicting solder joint reliability, model validation

363

Predicting solder joint shape by computer modeling

364

Predicting Sonar False Alarm Rate Inflation Using Acoustic Modeling and a High-Resolution Terrain Model

365

Predicting source code changes by mining change history

366

Predicting source gaze fixation duration: A machine learning approach

367

Predicting source-code complexity at the design stage

368

Predicting Sparse Array Performance From Two-Element Interferometer Data

369

Predicting Spatial Variability of Sediment Properties From Hydrographic Data for Geoacoustic Inversion

370

Predicting Spatiotemporal Traffic Flow Based on Support Vector Regression and Bayesian Classifier

371

Predicting Speaker Head Nods and the Effects of Affective Information

372

Predicting Spectral and Prosodic Parameters for Unit Selection in Speech Synthesis

373

Predicting spectral regrowth of nonlinear power amplifiers

374

Predicting spectral regrowth of power amplifiers in OFDM systems

375

Predicting Spectrum Occupancies Using a Non-Stationary Hidden Markov Model

376

Predicting speech quality of telecommunications systems in a quality differentiated market

377

Predicting speech recognition confidence using deep learning with word identity and score features

378

Predicting Spending Behavior Using Socio-mobile Features

379

Predicting Sphaeropsis sapinea damage on Pinus radiata stands from CASI-2 using spectral mixture analysis

380

Predicting Spike Activity in Neuronal Cultures

381

Predicting Splice Site by Improved Bayesian Classifier

382

Predicting spontaneous termination of atrial fibrillation with time-frequency information

383

Predicting sporadic grid data transfers

384

Predicting sports results using latent features: A case study

385

Predicting Sports Scoring Dynamics with Restoration and Anti-Persistence

386

Predicting static losses in an inverter-leg built with SiC normally-off JFETs and SiC diodes

387

Predicting Stay Time of Mobile Users With Contextual Information

388

Predicting steady-state instability

389

Predicting Stochastic Search Algorithm Performance using Landscape State Machines

390

Predicting stock index using neural network combined with evolutionary computation methods

391

Predicting stock market price using support vector regression

392

Predicting stock market trends using random forests: A sample of the Zagreb stock exchange

393

Predicting Stock Market Using Online Communities Raw Web Traffic

394

Predicting stock markets in boundary conditions with local models

395

Predicting Stock Price Movements Based on Different Categories of News Articles

396

Predicting stock price performance: a neural network approach

397

Predicting Stock Prices Using a Hybrid Kohonen Self Organizing Map (SOM)

398

Predicting Stock Trend Using Fourier Transform and Support Vector Regression

399

Predicting stock trends through technical analysis and nearest neighbor classification

400

Predicting strip thickness of hot rolled sheet based on the combination of correlation analysis and Extreme Learning Machine

401

Predicting stroke outcomes based on multi-modal analysis of physiological signals

402

Predicting structural and optical properties of hollow-core photonic bandgap fibers from second stage preforms

403

Predicting Structural Disruption of Proteins Caused by Crossover

404

Predicting Student Academic Performance

405

Predicting Student Blood Pressure by Support Vector Machine Using Facebook

406

Predicting Student Performance in Higher Education

407

Predicting student performance using decision tree classifiers and information gain

408

Predicting student performance: an application of data mining methods with an educational Web-based system

409

Predicting student personality based on a data-driven model from student behavior on LMS and social networks

410

Predicting student placement class using data mining

411

Predicting student placements using Bayesian classification

412

Predicting student retention by comparing histograms of bootstrapping for Charnes-Cooper transformationlinear programming discriminant analysis

413

Predicting student success based on prior performance

414

Predicting student´s learning outcome from Learning management system logs

415

Predicting students blood pressure by Artificial Neuron Network: Facebook predict students blood pressure

416

Predicting students marks in Hellenic Open University

417

Predicting Students Performance in Educational Data Mining

418

Predicting students’ academic achievement: Comparison between logistic regression, artificial neural network, and Neuro-fuzzy

419

Predicting students´ final exam scores from their course activities

420

Predicting students´ grades based on free style comments data by artificial neural network

421

Predicting students´ happiness from physiology, phone, mobility, and behavioral data

422

Predicting Students´ Performance in an Introductory Programming Course Using Data from Students´ Own Programming Process

423

Predicting students´ performance of an offline course from their online behaviors

424

Predicting students´ performance on intelligent tutoring system — Personalized clustered BKT (PC-BKT) model

425

Predicting students´ success based on forum activities in MOOCs

426

Predicting Subcutaneous Glucose Concentration in Humans: Data-Driven Glucose Modeling

427

Predicting subject performance level from EEG signal complexity when engaged in BCI paradigm

428

Predicting subjective sensation of reality during multimedia consumption based on EEG and peripheral physiological signals

429

Predicting subscriber dissatisfaction and improving retention in the wireless telecommunications industry

430

Predicting Subsystem Failures using Dependency Graph Complexities

431

Predicting success in a first year engineering course: the role of study habits

432

Predicting Successful Global Online Group Projects from Online Discussion

433

Predicting Successful Tactile Mapping of Virtual Objects

434

Predicting Sufficient Annotation Strength for Interactive Foreground Segmentation

435

Predicting sugar regulation in Arabidopsis thaliana using kernel learning methods

436

Predicting sun spots using a layered perceptron neural network

437

Predicting Surf Zone Conditions from an Offshore Buoy System

438

Predicting survial by cancer pathway gene expression profiles in the TCGA

439

Predicting survival years of Japanese listed firms using neural network

440

Predicting Susceptibility to Chronic Hepatitis using Single Nucleotide Polymorphism Data and Support Vector Machine

441

Predicting susceptibility to social bots on Twitter

442

Predicting switched-bias response from steady-state irradiations MOS transistors

443

Predicting system collapse: Two theoretical models

444

Predicting system performance variances using enhanced propagation of variance

445

Predicting system-failure risk from unanticipated fiber-breaks in manufacturing

446

Predicting system-level area and delay for pipelined and nonpipelined designs

447

Predicting system-level test and in-field customer failures using data mining

448

Predicting Systolic Blood Pressure Using Machine Learning

449

Predicting target detectability in acoustic elastography

450

Predicting Target Displacements Using Ultrasound Elastography and Finite Element Modeling

451

Predicting Targets of Human Reaching Motions Using Different Sensing Technologies

452

Predicting Taxi–Passenger Demand Using Streaming Data

453

Predicting TCP throughput from non-invasive network sampling

454

Predicting technical communication in product development organizations

455

Predicting technical viability of inventions

456

Predicting Teenager´s Future Stress Level from Micro-Blog

457

Predicting telecommuter productivity

458

Predicting TEM cell measurements from near field scan data

459

Predicting temperature increase through local SAR estimation by B1 mapping: A phantom validation at 7T

460

Predicting temporal lobe epileptic seizures based on zero-crossing interval analysis in scalp EEG

461

Predicting temporal lobe volume on MRI from genotypes using L¹-L² regularized regression

462

Predicting temporal sequences using an event-based spiking neural network incorporating learnable delays

463

Predicting Termination of Atrial Fibrillation Based on Shape Analysis in Reconstructed State Space

464

Predicting termination of paroxysmal atrial fibrillation using higher order statistics in EMD domain

465

Predicting testability of program modules using a neural network

466

Predicting the adaptability of sudden oak death in China using spatial information technology

467

Predicting the Adoption of Broadcasting Innovations by Relating Technical Attributes to User Needs: Implications for System Designs

468

Predicting the Adoption of Mobile Transactions: An Exploratory Investigation in Greece

469

Predicting the Aging Rate of Capacity in Ni/H Battery Using Artificial Neural Network

470

Predicting the Amount of Gas Emitted Based on Wavelet Neural Network

471

Predicting the array gain of partially coherent planar HF arrays

472

Predicting the asymptotic dynamics of large biological networks by interconnections of Boolean modules

473

Predicting the Behavior of a Highly Configurable Component Based Real-Time System

474

Predicting the behavior of pulsed wire discharge

475

Predicting the Behavior of Screen Printing

476

Predicting the Behavioral Intention to Use Collaborative Meeting Technologies: A Goal Attainment Mediated by Meeting Satisfaction Model

477

Predicting the behaviour of the renal transplant waiting list in the Pais Valencia (Spain) using simulation modeling

478

Predicting the benefit of sample size extension in multiclass k-NN classification

479

Predicting the Best Units within a Fleet: Prognostic Capabilities Enabled by Peer Learning, Fuzzy Similarity, and Evolutionary Design Process

480

Predicting the boiling point of diesel fuel using adaptive linear neuron and near infrared spectrum

481

Predicting the breakdown behavior of microcontrollers under EMP/UWB impact using a statistical analysis

482

Predicting the BSE Sensex: Performance comparison of adaptive linear element, feed forward and time delay neural networks

483

Predicting the Canadian spot exchange rate with neural networks

484

Predicting the capabilities of ship monitoring by HF radar in coastal regions

485

Predicting the characteristics of people living in the South USA using logistic regression and decision tree

486

Predicting the chloride penetration of mineral admixture concrete exposure at salt lake site

487

Predicting the churn of telecommunication service users using open source data mining tools

488

Predicting the cognitive readiness of army search and rescue teams

489

Predicting the Commercialization Progress of Early-Stage Technologies: An Ex-Ante Analysis

490

Predicting the Compatibility of High Frequency Sky-Wave Communication Systems

491

Predicting the complex cure and gelation behaviour of epoxy resins used in generator stator insulation systems

492

Predicting the complexity of large combinational circuits through symbolic spectral analysis of their functional specifications

493

Predicting the complexity of signal processing algorithms

494

Predicting the compliance of soft fingertips with differentiated layer design: A numerical and experimental investigation

495

Predicting the conducted emissions of switched-mode power converters including component and printed circuit board parasitics

496

Predicting the Confidence of Passing Life Tests

497

Predicting the contact resistance distribution of electrical contacts by modeling the contact interface

498

Predicting the corrections for the polish timescale UTC(PL) using GMDH and GRNN neural networks

499

Predicting the Correlation between Analog Behavioral Models and SPICE Circuits for robust SoC Verification

500

Predicting the Corrosion Rates of Steels in Sea Water Using Artificial Neural Network

501

Predicting the cost of engineering: does intuition help or hinder?

502

Predicting the CPU availability of time-shared Unix systems on the computational grid

503

Predicting the credit risk through Merton model

504

Predicting the Creep Lifetime of HMPE Mooring Rope Applications

505

Predicting the cumulative effect of multiple query formulations

506

Predicting the current on wires with TLM using self-consistent and non self-consistent approaches [EMC analysis]

507

Predicting the Data Retention Lifetime of a Lithium Carbon Mono-Fluoride Battery Connected to a Zeropower RAM

508

Predicting the design life of high integrity rotating electrical machines

509

Predicting the Dielectric Constants of (Zr0.7Sn0.3)TiO4 Ceramics Using Artificial Neural Network

510

Predicting the disconnection of flocking agents in a swarm

511

Predicting the distribution of mobile users in cellular networks

512

Predicting the DNSSEC overhead using DNS traces

513

Predicting the drift motion for kinematically redundant robots

514

Predicting the driver´s turn intentions at urban intersections using context-based indicators

515

Predicting the dynamic behavior of axial-field actuators

516

Predicting the dynamic behaviour of a planetary vehicle using physical modeling

517

Predicting the Dynamic Nature of Risk

518

Predicting the economic loss of typhoon by case base reasoning and fuzzy theory

519

Predicting the effect of AGC on speech intelligibility of cochlear implant recipients in noise

520

Predicting the effect of film processing on optical density formation by computer simulation

521

Predicting the effect of high speed laser trimming on resistor stability

522

Predicting the Effect of Memory Contention in Multi-Core Computers Using Analytic Performance Models

523

Predicting the Effect of Underfill Filler Volume Fraction on Solder Fatigue Life and Residual Stress for Surface Mount Components Using Nonlinear Viscoelastic Analyses

524

Predicting the Effect on Performance of Container-Managed Persistence in a Distributed Enterprise Application

525

Predicting the effectiveness of queries for visual search

526

Predicting the Effects of DDoS Attacks on a Network of Critical Infrastructures

527

Predicting the effects of different traffic rules on motorways using SISTM

528

Predicting the effects of error sources in bandgap reference circuits and evaluating their design implications

529

Predicting the Effects of Parameters Changes in Stochastic Models through Parallel Synthetic Experiments and Multivariate Analysis

530

Predicting the elasto-plastic response of an arc-weld process using artificial neural networks

531

Predicting the electrical behavior of grid-tied photovoltaic systems in Al Ain - UAE / model and case study

532

Predicting the Electrical Equivalent of Piezoceramic Transducers for Small Acoustic Transmitters

533

Predicting the electrical performance of arc furnaces

534

Predicting the elements [Control Disaster Prevention]

535

Predicting the EMC performance of high frequency inverters

536

Predicting the End Breakage Rates of Ring Spinning Polyester Cotton Yarn

537

Predicting the end of an atrial fibrillation episode: the physionet challenge

538

Predicting the energy harvests of PV installations using rotating shadow band radiometer data

539

Predicting the Erosion of Switching Contacts That Break Inductive Loads

540

Predicting the Evolution of Social Networks: Optimal Time Window Size for Increased Accuracy

541

Predicting the execution time of grid workflow applications through local learning

542

Predicting the Execution Time of Workflow Activities Based on Their Input Features

543

Predicting the existence of mycobacterium tuberculosis infection by Bayesian Networks and Rough Sets

544

Predicting the expected accuracy for fingerprinting based WiFi localisation systems

545

Predicting the failure modes in DPSK transmission systems

546

Predicting the Failure Probability of Device Features in MEMS

547

Predicting the filamentation of high-powered beams and pulses without numerical integration

548

Predicting the Fineness of Raw Mill Finished Products on the Basis of KPCA-SVM

549

Predicting the Flexibility of Dynamic Loop Scheduling Using an Artificial Neural Network

550

Predicting the fluorescent enhancement rate by gold and silver nanospheres using finite-difference time-domain analysis

551

Predicting the Formation of Gas Hydrate by PIPESIM

552

Predicting the Formation of Microporous Aluminophosphate AlPO4-5 Using Ridge Regression

553

Predicting the free calcium oxide content in cement clinker on the basis of rough sets and support vector machines

554

Predicting the French Stock Market Using Social Media Analysis

555

Predicting the functional complexity of combinational circuits by symbolic spectral analysis of Boolean functions

556

Predicting the future

557

Predicting the future behavior of a time-varying probability distribution

558

Predicting the future of drought prediction

559

Predicting the future of information technology and society [The Road Ahead]

560

Predicting the Future of Permanent-Magnet Materials

561

Predicting the future state of a vehicle in a stop&go behavior based on ANFIS models design

562

Predicting the future state of the RoboCup simulation environment: heuristic and neural networks approaches

563

Predicting the Future with Social Media

564

Predicting the future with the appropriate embedding dimension and time lag

565

Predicting the future: resource requirements and predictive optimism

566

Predicting the future: The Integrated Risk Picture

567

Predicting the gear ratio changing time by a fuzzy linguistic approach - an application to truck driving

568

Predicting the general electromagnetic radiation level of high speed railway by the static parameters of pantographs and networks

569

Predicting the generalization ability of neural networks resembling the nearest-neighbor algorithm

570

Predicting the Geographical Origin of Music

571

Predicting the growth of bacteria in chilled beef based on Artificial Neural Networks

572

Predicting the hairiness of cotton yarn in winding process

573

Predicting the Hairiness of Ring Spinning Polyester/Cotton Yarn Using Multiple Regression and Artificial Neural Network Approaches

574

Predicting the highest workload in cardiopulmonary test

575

Predicting the h-index with cost-sensitive naive Bayes

576

Predicting the histology of colorectal lesions in a probabilistic framework

577

Predicting the Human Reaction

578

Predicting the imagined contents using brain activation

579

Predicting the immunity of integrated circuits through measurement methods and simulation models

580

Predicting the impact of advertising: a neural network approach

581

Predicting the impact of anticipatory action on US stock market - an event study using ANFIS (a neural fuzzy model)

582

Predicting the impact of cyber-attacks on BMC³ enterprises

583

Predicting the impact of disruptions in BMC³ workflow

584

Predicting the Impact of Magnetic Components Used for EMI Suppression on the Base-Band of a Power Amplifier

585

Predicting the impact of measures against P2P networks on the transient behaviors

586

Predicting the Impact of Measures Against P2P Networks: Transient Behavior and Phase Transition

587

Predicting the impact of mercury pollution with a fuzzy expert system

588

Predicting the impact of panel orientation and tracking on PV daily energy harvest

589

Predicting the impact of scheduling modifications on system performance: case study

590

Predicting the impact on business performance of enhanced information system using business process simulation

591

Predicting the individual best saddle height of bicycle based on electromyography and Fuzzy Inference

592

Predicting the influence of group buying on the restaurant´s popularity by online reviews

593

Predicting the influence of placement of passive components on EMI behaviour

594

Predicting the influencers on wireless subscriber churn

595

Predicting the Initial Discharge Capacity of AB5-Based Hydrogen Storage Alloy Using Artificial Neural Network

596

Predicting the initiation of minimum-jerk submovements in three-dimensional target-oriented human arm trajectories

597

Predicting the innovation activity of chemical firms using an ensemble of decision trees

598

Predicting the installed performance of a RF receiver´s antenna in its operational environment

599

Predicting the integration of newcomers in OKBCs based on existing members´ involvement

600

Predicting the intended motion with EMG signals for an exoskeleton orthosis controller

601

Predicting the K-Factor of Divided Paths in Wideband Mobile Propagation

602

Predicting the Learner´s Emotional Reaction towards the Tutor´s Intervention

603

Predicting the length of stay for neonates using heart-rate Markov models

604

Predicting the level of airgap eccentricity in operating three-phase induction motors, by Park´s vector approach

605

Predicting the lifetime of repairable unicast routing paths in vehicle-formed mobile ad hoc networks on highways

606

Predicting the lightning impulse strength of two series dielectrics on distribution lines using multiple regression technique

607

Predicting the likelihood of heart failure with a multi level risk assessment using decision tree

608

Predicting the likely behaviors of complex systems

609

Predicting the limits of multiple processor performance using job profiles

610

Predicting the link stability based on link connectivity changes in mobile ad hoc networks

611

Predicting the localized flux distribution in three phase induction motor between different stator slot size

612

Predicting the location and number of faults in large software systems

613

Predicting the location of users on Twitter from low density graphs

614

Predicting the long term power loss from cell cracks in PV modules

615

Predicting the long-term average of the effective earth radius factor for South Africa using ground-based observations

616

Predicting the long-term outcome of preschool children with asthma symptoms

617

Predicting the long-term robustness of visual features

618

Predicting the Mackey Glass Chaotic Time Series Using Genetic Algorithm

619

Predicting the magnetic field from twisted three-phase arrangement

620

Predicting the Magnetic Fields from a Twisted-Pair Cable

621

Predicting the maximum radiated electric field strength from unintentional radiators

622

Predicting the mean cycle time as a function of throughput and product mix for cluster tool workstations using EPT-based aggregate modeling

623

Predicting the mechanical behavior of self-deformed micromachined cantilevers

624

Predicting the mechanism of removal of nonspecifically bound proteins in a surface acoustic wave biosensor: A fluid-solid interaction study

625

Predicting the medium-term electricity load demand of Thailand using the generalized estimating equation and the linear mixed effect model

626

Predicting the monthly cumulative distribution of the effective earth radius factor for South Africa

627

Predicting the motion of quadrotor using neural network

628

Predicting the movement of robotic platforms based on memory scanning test

629

Predicting the movement of voids in solder bumps and subsequent reliability [flip chip assembly]

630

Predicting the navigation performance of underwater vehicles

631

Predicting the near-future impact of daily activities on heart rate for at-risk populations

632

Predicting the Near-Weekend Ticket Sales Using Web-Based External Factors and Box-Office Data

633

Predicting the net harmonic currents produced by large numbers of distributed single-phase computer loads

634

Predicting the network throughput of wide area WSN in rural areas

635

Predicting the neurodevelopmental outcome in newborns with hypoxic-ischaemic injury

636

Predicting the News of Tomorrow Using Patterns in Web Search Queries

637

Predicting the next move: Determining mobile user location using semantic information

638

Predicting the Next Scenic Spot a User Will Browse on a Tourism Website Based on Markov Prediction Model

639

Predicting the Nexus between Post-Secondary Education Affordability and Student Success: An Application of Network-Based Approaches

640

Predicting the noise floor at the output of a memoryless piecewise-linear nonlinearity driven by a digital delta-sigma modulator

641

Predicting the non-compact conformation of amino acid sequence by particle swarm optimization

642

Predicting the nonlinear dynamics of biological neurons using support vector machines with different kernels

643

Predicting the number of contacts and dimensions of full-custom integrated circuit blocks using neural network techniques

644

Predicting the number of fatal soft errors in Los Alamos national laboratory´s ASC Q supercomputer

645

Predicting the Number of Mobile Subscribers: An accurate forecasting system and its application

646

Predicting the number of vias and dimensions of full-custom circuits using neural networks techniques

647

Predicting the number of voltage dips as a function of both voltage and duration

648

Predicting the occurrence of acute hypotensive episodes: The PhysioNet Challenge

649

Predicting the onset of bullous pemphigoid with co-morbidities: A survey based on a nationwide medical database

650

Predicting the onset of filamentous bulking in biological wastewater treatment systems by exploiting image analysis information

651

Predicting the onset of instabilities in frequency multipliers

652

Predicting the onset of intraventricular hemorrhage in premature infants by using functional optical imaging

653

Predicting the onset of paroxysmal atrial fibrillation: the Computers in Cardiology Challenge 2001

654

Predicting the opponent´s action using the k-nearest neighbor algorithm and a substring tree structure

655

Predicting the optimal position and direction of a ubiquitous ECG using a multi-scale model of cardiac electrophysiology

656

Predicting the Optimum Process Parameters for Seamless Tube Rolling with FEM and BPNN

657

Predicting the optimum routine test interval for protective relays

658

Predicting the order of fault-prone modules in legacy software

659

Predicting the outage performance of an equalized-QPSK system over indoor wireless channels

660

Predicting the outcome of brace treatment for scoliosis using conditional fuzzy clustering

661

Predicting the Outcome of Patients With Subarachnoid Hemorrhage Using Machine Learning Techniques

662

Predicting the outcomes of every process for which an asymptotically accurate stationary predictor exists is impossible

663

Predicting the out-of-vocabulary rate and the required vocabulary size for speech processing applications

664

Predicting the parameters and performance of brushless DC motor including saturation and slotting effects and magnetic circuit variations

665

Predicting the Parts Weight in Plastic Injection Molding Using Least Squares Support Vector Regression

666

Predicting the Perceived Interest of Object in Images

667

Predicting the perceived level of late reverberation using computational models of loudness

668

Predicting the perceptual quality of networked video through light-weight bitstream analysis

669

Predicting the perforation capability of Kinetic Energy Projectiles using artificial neural networks

670

Predicting the performance and convergence behavior of a turbo-equalization scheme

671

Predicting the Performance and Reliability of Carbon Nanotube Bundles for On-Chip Interconnect

672

Predicting the performance and reliability of future field programmable gate arrays routing architectures with carbon nanotube bundle interconnect

673

Predicting the performance of a 3D processor-memory chip stack

674

Predicting the Performance of a Design Team Using a Markov Chain Model

675

Predicting the performance of a permanent magnet synchronous motor by analytical and numerical methods

676

Predicting the performance of a switched reluctance machine using improved magnetic equivalent circuit method

677

Predicting the performance of a wind tunnel regulating system using an analog computer

678

Predicting the performance of an iterative MIMO MMSE receiver with vertical encoding

679

Predicting the performance of automatic road detection

680

Predicting the performance of batteries having paste additives

681

Predicting the Performance of Cooperative Wireless Networking Schemes With Random Network Coding

682

Predicting the performance of FPGA routing algorithms

683

Predicting the performance of gamma-ray imaging devices in the task of tumor detection

684

Predicting the performance of geographic delay-tolerant routing

685

Predicting the performance of globus monitoring and discovery service (MDS-2) queries

686

Predicting the performance of gridFTP transfers

687

Predicting the Performance of Helico-Axial Multiphase Pump Using Neural Networks

688

Predicting the Performance of Job Applicants by Means of Genetic Programming

689

Predicting the performance of large programs on scalable multicomputers

690

Predicting the performance of long-haul undersea systems with computer models

691

Predicting the Performance of Low-Angle Microwave Search Radars-- Targets, Sea Clutter, and the Detection Process

692

Predicting the Performance of Low-Loss On-Chip Inductors Realized Using Carbon Nanotube Bundles

693

Predicting the performance of M-ary codes in an unknown multipath environment

694

Predicting the Performance of Mobile Ad Hoc Networks Using Scaled-Down Replicas

695

Predicting the performance of multi-agent based simulation with Ethernet switched clusters

696

Predicting the Performance of Opponent Models in Automated Negotiation

697

Predicting the Performance of Parallel Computing Models Using Queuing System

698

Predicting the performance of photonic luminescent solar concentrators

699

Predicting the Performance of Pyramidal and Corrugated Horn Antennas Using ANFIS

700

Predicting the performance of queuing networks with dynamic job routing

701

Predicting the performance of scientific applications on distributed memory multiprocessors

702

Predicting the performance of SoC verification technologies

703

Predicting the performance of synchronous discrete event simulation

704

Predicting the performance of synchronous discrete event simulation systems

705

Predicting the Performance of Tropospheric Communication Links, Singly and in Tandem

706

Predicting the Performance of Virtual Machine Migration

707

Predicting the performance of wide area data transfers

708

Predicting the Polish timescale UTC(PL) based on the corrections designated by the UTC and UTCr scale

709

Predicting the Political Alignment of Twitter Users

710

Predicting the Popularity of Trending Arabic Wikipedia Articles Based on External Stimulants Using Data/Text Mining Techniques

711

Predicting the Position of an Agile Target

712

Predicting the potential distribution of bamboo with species distribution models

713

Predicting the potential distribution patterns of the rare plant Gymnocarpos przewalskii under present and future climate change

714

Predicting the potential industrial fields of technological spin-offs by using IPC in patent analysis

715

Predicting the potential of wearable technology

716

Predicting the power rating of a multi-channel linear amplifier

717

Predicting the priority of a reported bug using machine learning techniques and cross project validation

718

Predicting the probability of change in object-oriented systems

719

Predicting the product yield profile and cracking degrees in an industrial ethylene pyrolysis furnace

720

Predicting the progress and the peak of an epidemic

721

Predicting the Pro-Longevity or Anti-Longevity Effect of Model Organism Genes with New Hierarchical Feature Selection Methods

722

Predicting the propagation loss through a tree canopy at millimeter frequencies — Forward scattering approximation — 3-D vector radiative transport theory

723

Predicting the pruning potential in sphere decoding for multiple-input multiple-output detection

724

Predicting the pullout torque/speed curve of variable-reluctance stepping motors

725

Predicting the PVT properties of Iran crude oil by Neural Network

726

Predicting the Quality of Answers Using Surface Linguistic Features

727

Predicting the Quality of Experience for Internet Video with Fuzzy Decision Tree

728

Predicting the Quality of Service of a Peer-to-Peer Desktop Grid

729

Predicting the quality of sound pickup using microphone arrays

730

Predicting the quality of video transmission over best effort network service

731

Predicting the quality of voice over IP networks

732

Predicting the quality of web services based on two layer model

733

Predicting the Quench Behavior of the LHC Dipoles During Commissioning

734

Predicting the radiation induced loss in Ge doped optical fibres at different temperatures

735

Predicting the radiation pattern of a radial line slot array antenna

736

Predicting the radio channel beyond second-generation wireless systems

737

Predicting the range and throughput of mobile data systems

738

Predicting the region of interest for dynamic foveated streaming

739

Predicting the Release of Chemotherapeutics From the Core of Polymeric Micelles Using Ultrasound

740

Predicting the reliability and safety of commercial software in advanced avionic systems

741

Predicting the reliability of a complex military system

742

Predicting the reliability of a system

743

Predicting the reliability of data on DVD-R discs

744

Predicting the reliability of electronic equipment [and prolog]

745

Predicting the Reliability of Electronic Products

746

Predicting the reliability of metal-insulator-metal capacitors (MIMC) in analog devices by modeling

747

Predicting the reliability of new products at IBM

748

Predicting the Reliability of Power Electronic Modules

749

Predicting the Reliability of Software Systems Using Fuzzy Logic

750

Predicting the remaining life of propulsion system bearings

751

Predicting the Required Number of Training Samples

752

Predicting the Resonant Frequency of Photoacoustic Cells With Side Branches

753

Predicting the response time of OPS5-style production systems

754

Predicting the response time of real-time rule-based programs with variable-expression assignments

755

Predicting the results of 10 Mbps-30 Mbps wireless field trials using simulation techniques

756

Predicting the Rieke diagram of the high-power klystron

757

Predicting the Risk of Future Hospitalization

758

Predicting the Risk of Low Back Disorders due to Manual Handling Tasks

759

Predicting the Risk of Low-Fetal Birth Weight From Cardiotocographic Signals Using ANBLIR System With Deterministic Annealing and ${bm \\varepsilon }$ -Insensitive Learning

760

Predicting the risk of metabolic acidosis for newborns based on fetal heart rate signal classification using support vector machines

761

Predicting the risk of newborns based on fuzzy clustering method with prediction risk assessment

762

Predicting the risk of readmission of diabetic patients using MapReduce

763

Predicting the Risk Type of Human Papillomaviruses Based on Sequence-Derived Features

764

Predicting the running times of parallel programs by simulation

765

Predicting the secondary electromagnetic reflection on the complex targets

766

Predicting the Secondary Structure of Proteins Using New Ways of Classification

767

Predicting the semantic orientation of movie reviews

768

Predicting the sentiment in sentences based on words: An exploratory study on ANEW and ANET

769

Predicting the SEU error rate through fault injection for a complex microprocessor

770

Predicting the severity of a reported bug

771

Predicting the severity of breast masses using Bayesian networks

772

Predicting the severity of motor neuron disease progression using electronic health record data with a cloud computing Big Data approach

773

Predicting the Shear Strength of a Wire Bond Using Laser Vibration Measurements

774

Predicting the shielding effectiveness of rectangular apertures

775

Predicting the Single-Event Error Rate of a Radiation Hardened by Design Microprocessor

776

Predicting the software performance during feasibility study

777

Predicting the software reliability of complex systems

778

Predicting the solar probe plus solar array output

779

Predicting the spatial and temporal variation of the electromagnetic fields, currents and speeds of first return strokes

780

Predicting the spatial and temporal variation of the electromagnetic fields, currents, and speeds of subsequent return strokes

781

Predicting the spatiotemporal chlorophyll-a distribution in the Sea of Japan based on SeaWiFS ocean color satellite data

782

Predicting The Spectral Detectability Of Surface Materials Using Spectral Mixture Analysis

783

Predicting the spectral shape of multi-section quantum dot superluminescent LEDs

784

Predicting the speed of a Wave Glider autonomous surface vehicle from wave model data

785

Predicting the speedup of multithreaded Solaris programs

786

Predicting the Splice Sites in DNA Sequences Using Neural Network Based on Complementary Encoding Method

787

Predicting the State of a Person by an Office-Use Autonomous Mobile Robot

788

Predicting the steady-state performance of a switched reluctance machine

789

Predicting the steady-state performance of a switched reluctance machine

790

Predicting the Stock Market using Multiple Models

791

Predicting the stock price based on BP neural network and big transaction

792

Predicting the strength of underfill/polyimide interfaces

793

Predicting the Structural Performance of Transmission Lines Uprated by Reconductoring

794

Predicting the Structural Performance of Transmission Lines Uprated by Reconductoring

795

Predicting the Subcellular Localization of Proteins with Multiple Sites Based on N-Terminal Signals

796

Predicting the success of a radiopharmaceutical for in vivo imaging

797

Predicting the success of bank telemarketing using deep convolutional neural network

798

Predicting the success possibility for Green Supply chain management implementation

799

Predicting the success possibility of implementing information sharing in supply chain using consistent fuzzy preference relationship

800

Predicting the suitability for scene matching using SVM

801

Predicting the surge capability of power thyristors

802

Predicting the survivability of breast cancer patients using ensemble approach

803

Predicting the survival or failure of click-and-mortar corporations

804

Predicting the switching time of electrostatic actuators

805

Predicting the target genes of intronic microRNAs using large-scale gene expression data

806

Predicting the technical impacts of high levels of small-scale embedded generators on low-voltage networks

807

Predicting the technological paths in automotive industry and the environmental impacts of electrification of automotive industry in selected OECD countries

808

Predicting the temper embrittlement of steam turbine rotor steels with Bayesian neural network

809

Predicting the thermal conductivity of nanofluids based on suspension viscosity

810

Predicting the threshold for onset of internal electric breakdown in helical flux compression generators using CAGEN and CALE

811

Predicting the threshold of pulse-train electrical stimuli using a stochastic auditory nerve model: the effects of stimulus noise

812

Predicting the threshold of single-pulse electrical stimuli using a stochastic auditory nerve model: the effects of noise

813

Predicting the throughput of multiprocessor applications under dynamic workload

814

Predicting the tick-wise price fluctuations by means of evolutionary computation

815

Predicting the Tide with Genetic Programming and Semantic-based Crossovers

816

Predicting the time of oblivious programs

817

Predicting the Time To Failure of a randomly degrading component by a hybrid Monte Carlo and possibilistic method

818

Predicting the time to localized muscle fatigue using ANN and evolved sEMG feature

819

Predicting the timing of motor commands in a synchronization task: a PET study

820

Predicting the torque characteristics of switched-reluctance motor by using nonlinear inductance profiles

821

Predicting the torque of a switched reluctance machine from its finite element field solution

822

Predicting the Total Workload in Telecommunications by SVMs

823

Predicting the transient effects of PWM voltage waveform on the stator windings of random wound induction motors

824

Predicting the transient effects of PWM voltage waveform on the stator windings of random wound induction motors

825

Predicting the Trapped $B$ Field in Bulk Superconductors Using Critical State Models

826

Predicting the trend of the stock based on the intrinsic value and trading volume of stock

827

Predicting the Truncated Autocorrelation Functions of Combined Barker Sequences of Any Length Without Use of a Computer

828

Predicting the unobservable Visual 3D tracking with a probabilistic motion model

829

Predicting the unpredictable: future directions in internetworking and their implications

830

Predicting the Usage of P2P Sharing Software: The Role of Trust and Perceived Risk

831

Predicting the usefulness of a block result: a micro-architectural technique for high-performance low-power processors

832

Predicting the variance of ML reconstructions with body contour constraint for multi-pinhole SPECT

833

Predicting the vertical bearing capacity of single piles based on SCPTU test

834

Predicting the Virtual Temperature of Web-Blog Articles as a Measurement Tool for Online Popularity

835

Predicting the visibility of LEO satellites

836

Predicting the Viterbi Score Distribution for a Hidden Markov Model and Application to Speech Recognition

837

Predicting the weights of a weighted mean distance model using BP NN for robot simulated soccer

838

Predicting the Wind

839

Predicting the yield efficacy of a defect-tolerant embedded core

840

Predicting the zero-voltage switching profiles of half-bridge driven inductor-less piezoelectric transformer-based inverters

841

Predicting thermal behavior for temperature management in time-critical multicore systems

842

Predicting thermal behavior of interconnects

843

Predicting Thermal Biological Responses of Firefighters Considering Finite Thermal Wave Propagation within Human Tissue

844

Predicting thermal contact resistance in circuit card assemblies

845

Predicting thermal impact of Light pipe on air temperature in room using OLS- Multiple Regression

846

Predicting Thermal Neutron-Induced Soft Errors in Static Memories Using TCAD and Physics-Based Monte Carlo Simulation Tools

847

Predicting thermal runaway in bypass diodes in photovoltaic modules

848

Predicting Thermal Stability And Transient Response Of Soils Adjacent To Underground Power Cables

849

Predicting thermal stability of fibre Bragg gratings - isothermal annealing within isochronal annealing

850

Predicting thermo-mechanical degradation of first-level thermal interface materials (TIMs) in flip-chip electronic packages

851

Predicting thermomechanical stress using MESMERIC methodology

852

Predicting Thermophilic Nucleotide Sequences Based on Chaos Game Representation Features and Support Vector Machine

853

Predicting Time Intervals forResource Availability in MANETs

854

Predicting Time Range of Development Based on Generalized Software Reliability Model

855

Predicting time sequences in gene expression using dynamic neuro-fuzzy networks

856

Predicting time series by a fully connected neural network trained by back propagation

857

Predicting time series of individual trends with resolution adaptive ARIMA

858

Predicting time series with wavelet packet neural networks

859

Predicting Time to Failure Using the IMM and Excitable Tests

860

Predicting time-delays under real-time scheduling for linear model predictive control

861

Predicting timeliness of reactive systems under flexible scheduling

862

Predicting time-sensitive user locations from social media

863

Predicting time-to-failure using finite element analysis

864

Predicting time-varying audio spectra from pitch and loudness: related synthesis techniques

865

Predicting Timing Behavior In Architectural Design Exploration Of Real-time Embedded Systems

866

Predicting Timing Performance of Advanced Mechatronics Control Systems

867

Predicting timing violations through instruction-level path sensitization analysis

868

Predicting Tissue Conductivity Influences on Body Surface Potentials—An Efficient Approach Based on Principal Component Analysis

869

Predicting Topographic and Bathymetric Measurement Performance for Low-SNR Airborne Lidar

870

Predicting topology survivability using path diversity

871

Predicting Tor path compromise by exit port

872

Predicting total harmonic distortion (THD) in ADSL transformers using behavioural modeling

873

Predicting total harmonic distortion in asymmetric digital subscriber line transformers by simulation

874

Predicting Total Hydro Carbons Amount of Air Using Artificial Neural Network

875

Predicting Total Organic Carbons and Nitrogens in Grassland Soil Using Wavelet Analysis and Hyperspectral Technology

876

Predicting total tropospheric attenuation on monthly basis

877

Predicting tours and probabilistic simulation for BKZ lattice reduction algorithm

878

Predicting track misregistration (TMR) from disk vibration of alternate substrate materials

879

Predicting Traffic Bursts Using Extreme Value Theory

880

Predicting traffic flow changes by fuzzy logic

881

Predicting Traffic in the Cloud: A Statistical Approach

882

Predicting Traffic lights to Improve Urban Traffic Fuel Consumption

883

Predicting traffic speed in urban transportation subnetworks for multiple horizons

884

Predicting transformer incipient faults by dissolved gas in oil analysis

885

Predicting transformer service life using simplified Perks´ equation and Iowa curves

886

Predicting transformers oil parameters

887

Predicting transient crosstalk using an `L´-shape transient spectrum

888

Predicting Transient Downtime in Virtual Server Systems: An Efficient Sample Path Randomization Approach

889

Predicting Transient Upset in Gate Arrays

890

Predicting transistor storage time for nonstep, quasi-voltage inputs

891

Predicting translation initiation sites using a multi-agent architecture empowered with reinforcement learning

892

Predicting Transmembrane Topology of β-barrel Membrane Proteins with A Hidden Markov Model

893

Predicting transmittance, absorptions and reflectance characteristics for the design of transparent dome passive daylight collector

894

Predicting transportation engineering financial investment by an improved GM(1,1) model

895

Predicting transthoracic defibrillation shocks outcome in the cardioversion of atrial fibrillation employing support vector machines

896

Predicting travel intention to take HSR among college students

897

Predicting Travel Times with Context-Dependent Random Forests by Modeling Local and Aggregate Traffic Flow

898

Predicting Treatment Response from Resting State fMRI Data: Comparison of Parcellation Approaches

899

Predicting trend in futures prices time series using a new association rules algorithm

900

Predicting trend in the next-day market by Hierarchical Hidden Markov Model

901

Predicting tropical forest carbon from EO-1 hyperspectral imagery in Noel Kempff Mercado National Park, Bolivia

902

Predicting Trust and Distrust in Social Networks

903

Predicting Trustworthiness Behavior to Enhance Security in On-line Assessment

904

Predicting Trustworthiness for Component Software

905

Predicting Tumor Location by Modeling the Deformation of the Breast

906

Predicting tumor location from prone to supine breast MRI using a simulation of breast deformation

907

Predicting Tumor Malignancies using Combined Computational Intelligence, Bioinformatics and Laboratory Molecular Biology Approaches

908

Predicting tumor-suppressing genes in cancer via clustering the developmental stage gene expression profile

909

Predicting twystrode output circuit performance

910

Predicting types of clothing using SURF and LDP based on Bag of Features

911

Predicting tyrosine phosphorylation from site-modification network

912

Predicting Ultimate Punching Failure in Concrete Bridge Deck Slabs through Nonlinear Finite Element Analysis

913

Predicting uncompensable heat stress with embedded, wearable sensors

914

Predicting Underground Distribution System Availability

915

Predicting unexpected influxes of players in EVE online

916

Predicting Uniaxial Compressive Strengths of Brecciated Rock Specimens using neural networks and different learning models

917

Predicting university performance in a subject based on high school majors

918

Predicting unpinning success rates for a pinned spiral in an excitable medium

919

Predicting unroll factors using supervised classification

920

Predicting unseen triphones with senones

921

Predicting unseen triphones with senones

922

Predicting unstable modes in power systems: theory and computations

923

Predicting unusual right-turn driving behavior at intersection

924

Predicting upgrade failures using dependency analysis

925

Predicting upper body power of cross-country skiers using machine learning methods combined with feature selection

926

Predicting URF Upset of MOSFET Digital IC´s

927

Predicting User Actions in Kinect using Simple Markov Assumption

928

Predicting User Annoyance Using Visual Attributes

929

Predicting User Behavior in E-commerce Based on Psychology Model

930

Predicting User Behaviour to Facilitate Efficient Provision of Health Applications

931

Predicting user comfort level using machine learning for Smart Grid environments

932

Predicting user dissatisfaction with Internet application performance at end-hosts

933

Predicting user evaluations of spoken dialog systems using semi-supervised learning

934

Predicting User Mobility in Mobile Radio Networks to Proactively Anticipate Traffic Hotspots

935

Predicting user movement for advanced location-aware services

936

Predicting User Participation and Detecting User Role Diffusion in Online Health Communities

937

Predicting user participation in social networking sites

938

Predicting user QoE satisfaction in current mobile networks

939

Predicting user requests in practical VoD systems

940

Predicting User Satisfaction in Spoken Dialog System Evaluation With Collaborative Filtering

941

Predicting user trust in information systems: a comparison of competing trust models

942

Predicting User-Perceived Quality Ratings from Streaming Media Data

943

Predicting Users´ Perceived Trust in Embodied Conversational Agents Using Vocal Dynamics

944

Predicting User-to-content Links in Flickr Groups

945

Predicting User-Topic Opinions in Twitter with Social and Topical Context

946

Predicting variability in nanoscale lithography processes

947

Predicting Variability of High-Penetration Photovoltaic Systems in a Community Microgrid by Analyzing High-Temporal Rate Data

948

Predicting various types of user attributes in Twitter by using personalized pagerank

949

Predicting Vegetation Related Failure Rates for Overhead Distribution Feeders

950

Predicting vegetation-related failure rates for overhead distribution feeders

951

Predicting vehicle-level EMC performance utilizing on-bench component characterization results

952

Predicting vehicle-level radiated EMI emissions using module-level conducted EMIs and harness radiation efficiencies

953

Predicting Velocity Profiles of Road Users at Intersections Using Configurations

954

Predicting Veracity from Linguistic Indicators

955

Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms

956

Predicting vestibular, proprioceptive, and biomechanical control strategies in normal and pathological head movements

957

Predicting VHF/UHF electromagnetic noise from corona on power-line conductors

958

Predicting video call quality in future mobile networks

959

Predicting video-conferencing conversation outcomes based on modeling facial expression synchronization

960

Predicting viral infection by selecting informative biomarkers from temporal high-dimensional gene expression data

961

Predicting Visual Discomfort of Stereoscopic Images Using Human Attention Model

962

Predicting Visual Discomfort Using Object Size and Disparity Information in Stereoscopic Images

963

Predicting visual fatigue in 3D image viewing by adjusting the baseline positioning

964

Predicting Visual Focus of Attention From Intention in Remote Collaborative Tasks

965

Predicting Visual Semantic Descriptive Terms From Radiological Image Data: Preliminary Results With Liver Lesions in CT

966

Predicting Visual Stimuli From Self-Induced Actions: An Adaptive Model of a Corollary Discharge Circuit

967

Predicting visualization of hospital clinical reports using survival analysis of access logs from a virtual patient record

968

Predicting VO2max from submaximal exercise and non-exercise data using artificial neural networks

969

Predicting VOC Concentration Measurements: Cognitive Approach for Sensor Networks

970

Predicting void wave instability in gas-lifted wells

971

Predicting voltage abnormality using power systems dynamic response

972

Predicting voltage distortion in a system with multiple random harmonic sources

973

Predicting Voltage Droops Using Recurring Program and Microarchitectural Event Activity

974

Predicting Voltage Instability of Power System via Hybrid System Reachability Analysis

975

Predicting voltage stress effects on MV/LV components

976

Predicting vowel substitution in code-switched speech

977

Predicting VQ Performance Bound for LSF Coding

978

Predicting Vulnerability Exploits in the Wild

979

Predicting Vulnerable Components via Text Mining or Software Metrics? An Effort-Aware Perspective

980

Predicting Vulnerable Components: Software Metrics vs Text Mining

981

Predicting Vulnerable Software Components through N-Gram Analysis and Statistical Feature Selection

982

Predicting Vulnerable Software Components via Text Mining

983

Predicting Wafer-Lot Output Time With a Hybrid FCM–FBPN Approach

984

Predicting wastewater sludge recycle performance based on fuzzy neural network

985

Predicting Water Irruption Quantity from Coal Floor Based on Wavelet Neural Network

986

Predicting Wave Glider speed from environmental measurements

987

Predicting wavelet coefficients over edges using estimates based on nonlinear approximants

988

Predicting weather-associated impacts in outage management utilizing the GIS framework

989

Predicting Web Search Hit Counts

990

Predicting Web Server Crashes: A Case Study in Comparing Prediction Algorithms

991

Predicting web service levels during VM live migrations

992

Predicting web service QoS via matrix-factorization-based collaborative filtering under non-negativity constraint

993

Predicting Web site access: an application of time series

994

Predicting wet gluten content of winter wheat through remote sensing method based on HJ-1A/1B images

995

Predicting wheat aphid using 2-dimensional feature space based on multi-temporal Landsat TM

996

Predicting when not to predict

997

Predicting where faults can hide from testing

998

Predicting whether or not a nucleic acid sequence is an E. coli promoter region using genetic programming

999

Predicting Wikipedia Editor´s Editing Interest Based on Factor Graph Model

1000

Predicting wind driven wild land fire shape using fuzzy logic in cellular automata

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