All Stories

  1. Tuning multi-objective multi-population evolutionary models for high-dimensional problems: The case of the migration process
  2. Time Transfer and Clock Synchronization Analysis over Spine-Leaf Networks
  3. Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population
  4. Design of a Standard and Programmatically Accessible Interface for Smart Meters to Allow Monitoring Automation of the Energy Consumed by the Execution of Computer Software
  5. Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification
  6. Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure
  7. Ant colony optimization for feature selection via a filter-randomized search heuristic
  8. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data
  9. A lexicographic cooperative co-evolutionary approach for feature selection
  10. Understanding Power Quality using IoT-based Smart Analyzers and Advanced Software Tools
  11. (Invited) Versatile Compact Model and Evolutionary Parameter Extraction Method for Organic Thin-Film Transistors
  12. Unified electrical model for the contact regions of staggered Thin Film Transistors
  13. Energy-Time Profiling for Machine Learning Methods to EEG Classification
  14. Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification
  15. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification
  16. A parallel and distributed multi-population GA with asynchronous migrations
  17. Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
  18. Versatile model for the contact region of organic thin-film transistors
  19. Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification
  20. Distributed multi-objective evolutionary optimization using island-based selective operator application
  21. Evolutionary Computation for Parameter Extraction of Organic Thin-Film Transistors Using Newly Synthesized Liquid Crystalline Nickel Phthalocyanine
  22. Compact modeling of the effects of illumination on the contact region of organic phototransistors
  23. Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks
  24. (Invited) Evolutionary Parameter Extraction for Organic TFT Compact Models Including Contact Effects
  25. A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI
  26. Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach
  27. Constrained Many-Objective Evolutionary Extraction Procedure for an OTFT Compact Model Including Contact Effects
  28. Evolutionary parameter extraction for an organic TFT compact model including contact effects
  29. Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters
  30. A Power–Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms
  31. Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters
  32. Prediction of energy consumption in a NSGA-II-based evolutionary algorithm
  33. Energy‐aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU‐GPU architectures
  34. Classification of Breast Cancer Histopathological Images Using KAZE Features
  35. Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP)
  36. Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures
  37. mDARAL: A Multi-Radio Version for the DARAL Routing Algorithm
  38. Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis
  39. Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification
  40. Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection
  41. Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms
  42. DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks
  43. Enabling Validation of IEEE 802.15.4 Performance through a New Dual-Radio Omnet++ Model
  44. Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters
  45. Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces
  46. Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification
  47. Fine-Tuning the DARP Wireless Sensor Routing Protocol
  48. A Methodology to Develop Service Oriented Evolutionary Algorithms
  49. DARP: dynamic and adaptive radio protocol for wireless sensor networks
  50. Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games
  51. Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm
  52. Developing services in a service oriented architecture for evolutionary algorithms
  53. The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming
  54. Deploying intelligent e-health services in a mobile gateway
  55. Service oriented evolutionary algorithms
  56. A DSP embedded system. Application to digital communication systems
  57. Preface to the special issue on: Emerging Applications of Embedded Systems Research
  58. Context-Awareness in a Service Oriented e-Health Platform
  59. Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA
  60. Local-global neuro-fuzzy system for color change modelling
  61. Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach
  62. Applying independent component analysis to the evaluation of saccadic waveform changes in patients of spino cerebellar ataxia (SCA-2)
  63. Modifications in saccadic pulse and step components in Cuban ataxia SCA2 patients
  64. Predicting marital dissolutions using radial basis function neural networks
  65. A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard
  66. Evolution of XPath Lists for Document Data Selection
  67. Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems
  68. A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades
  69. Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2
  70. Using UN/CEFACT’S Modelling Methodology (UMM) in e-Health Projects
  71. 169. Processing of saccadic electro-oculographic data in clinical studies of SCA2
  72. Using fuzzy logic to improve a clustering technique for function approximation
  73. Studying possibility in a clustering algorithm for RBFNN design for function approximation
  74. Multigrid-based fuzzy systems for time series prediction: CATS competition
  75. A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application
  76. Output value-based initialization for radial basis function neural networks
  77. Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
  78. General Logarithmic Image Processing Convolution
  79. Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time
  80. A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design
  81. C-Means Clustering Applied to Speech Discrimination
  82. Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation
  83. Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction
  84. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems
  85. Multi-objective evolution of fuzzy systems
  86. A Possibilistic Approach to RBFN Centers Initialization
  87. Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach
  88. Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models
  89. Designing a Fast Convolution Under the LIP Paradigm Applied to Edge Detection
  90. Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm
  91. Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model
  92. New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems
  93. RBF CENTERS INITIALIZATION USING FUZZY CLUSTERING TECHNIQUE FOR FUNCTION APPROXIMATION PROBLEMS
  94. Online Global Learning in Direct Fuzzy Controllers
  95. Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning
  96. The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction
  97. Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
  98. Automatic Construction of Fuzzy Rule-Based Systems: A trade-off between complexity and accuracy maintaining interpretability
  99. Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks
  100. Performance of Message-Passing MATLAB Toolboxes
  101. Studying the Convergence of the CFA Algorithm
  102. Web newspaper layout optimization using simulated annealing
  103. Structure identification in complete rule-based fuzzy systems
  104. A two-stage approach to self-learning direct fuzzy controllers
  105. Application of Artificial Aging Techniques to Samples of Rum and Comparison with Traditionally Aged Rums by Analysis with Artificial Neural Nets
  106. Statistical analysis of the main parameters involved in the design of a genetic algorithm
  107. A new clustering technique for function approximation
  108. Evolutionary Training of Neuro-fuzzy Patches for Function Approximation
  109. Evolutive Identification of Fuzzy Systems for Time-Series Prediction
  110. Neural Networks, Clustering Techniques, and Function Approximation Problems
  111. Optimization of web newspaper layout in real time
  112. Multidimensional and multideme genetic algorithms for the construction of fuzzy systems
  113. A Novel Approach to Self-Adaptation of Neuro-Fuzzy Controllers in Real Time
  114. Assesing the Noise Immunity of Radial Basis Function Neural Networks
  115. Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks
  116. RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting
  117. Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights
  118. SHORT-TERM PREDICTION OF CHAOTIC TIME SERIES BY USING RBF NETWORK WITH REGRESSION WEIGHTS
  119. A systematic approach to a self-generating fuzzy rule-table for function approximation
  120. A new radial basis function networks structure: application to time series prediction
  121. Optimizing web newspaper layout using simulated annealing
  122. SA-prop: Optimization of multilayer perceptron parameters using simulated annealing
  123. Optimizing web page layout using an annealed genetic algorithm as client-side script
  124. A First Approach to Birth Weight Prediction Using RBFNNs
  125. Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization
  126. Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems
  127. Self-adaptive robot control using fuzzy logic
  128. Soft-computing techniques for the development of adaptive helicopter flight controller
  129. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems
  130. Fine control of monotonic systems using a global self-learning adaptive fuzzy controller
  131. Multigrid-based fuzzy systems for time series prediction: CATS competition
  132. Structure identification of fuzzy controllers in real time
  133. A method for structure identification in complete rule-based fuzzy systems
  134. A new sequential learning algorithm using pseudo-Gaussian functions for neuro-fuzzy systems
  135. An enhanced self-organizing controller for real-time process-control applications
  136. Fine tuning of fuzzy controllers using a two-stage algorithm
  137. G-Prop-II: global optimization of multilayer perceptrons using GAs