All Stories

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