All Stories

  1. An adapted model for measuring digital maturity in MSMEs from emerging regions
  2. SLATE-PTP: A spine–leaf architecture timestamps and evaluation dataset for IEEE 1588 precision time protocol benchmarking
  3. Structured Characterization Methodology for Time Transfer in Packet-Switched Networks: A PTP-Unaware Case Study
  4. Tuning multi-objective multi-population evolutionary models for high-dimensional problems: The case of the migration process
  5. Time Transfer and Clock Synchronization Analysis over Spine-Leaf Networks
  6. Improving the Performance of EA-based Multi-population Models for Feature Selection Problems by Reducing the Individual Size in the Initial Population
  7. 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
  8. Boosting NSGA-II-Based Wrappers Speedup for High-Dimensional Data: Application to EEG Classification
  9. Towards the Identification of Multiclass Lung Cancer-Related Genes: An Evolutionary and Intelligent Procedure
  10. Ant colony optimization for feature selection via a filter-randomized search heuristic
  11. Boosting the convergence of a GA-based wrapper for feature selection problems on high-dimensional data
  12. A lexicographic cooperative co-evolutionary approach for feature selection
  13. Understanding Power Quality using IoT-based Smart Analyzers and Advanced Software Tools
  14. (Invited) Versatile Compact Model and Evolutionary Parameter Extraction Method for Organic Thin-Film Transistors
  15. Unified electrical model for the contact regions of staggered Thin Film Transistors
  16. Energy-Time Profiling for Machine Learning Methods to EEG Classification
  17. Performance Study of Ant Colony Optimization for Feature Selection in EEG Classification
  18. Recurrent Neural Networks and Efficiency in High-Dimensional EEG Classification
  19. A parallel and distributed multi-population GA with asynchronous migrations
  20. Deep learning for EEG-based Motor Imagery classification: Accuracy-cost trade-off
  21. Versatile model for the contact region of organic thin-film transistors
  22. Cost-Efficiency of Convolutional Neural Networks for High-Dimensional EEG Classification
  23. Distributed multi-objective evolutionary optimization using island-based selective operator application
  24. Evolutionary Computation for Parameter Extraction of Organic Thin-Film Transistors Using Newly Synthesized Liquid Crystalline Nickel Phthalocyanine
  25. Compact modeling of the effects of illumination on the contact region of organic phototransistors
  26. Time-energy analysis of multilevel parallelism in heterogeneous clusters: the case of EEG classification in BCI tasks
  27. (Invited) Evolutionary Parameter Extraction for Organic TFT Compact Models Including Contact Effects
  28. A new multi-objective wrapper method for feature selection – Accuracy and stability analysis for BCI
  29. Many-Objective Cooperative Co-evolutionary Feature Selection: A Lexicographic Approach
  30. Constrained Many-Objective Evolutionary Extraction Procedure for an OTFT Compact Model Including Contact Effects
  31. Evolutionary parameter extraction for an organic TFT compact model including contact effects
  32. Speedup and Energy Analysis of EEG Classification for BCI Tasks on CPU-GPU Clusters
  33. A Power–Performance Perspective to Multiobjective Electroencephalogram Feature Selection on Heterogeneous Parallel Platforms
  34. Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters
  35. Prediction of energy consumption in a NSGA-II-based evolutionary algorithm
  36. Energy‐aware load balancing of parallel evolutionary algorithms with heavy fitness functions in heterogeneous CPU‐GPU architectures
  37. Classification of Breast Cancer Histopathological Images Using KAZE Features
  38. Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP)
  39. Parallel high-dimensional multi-objective feature selection for EEG classification with dynamic workload balancing on CPU–GPU architectures
  40. mDARAL: A Multi-Radio Version for the DARAL Routing Algorithm
  41. Deep Belief Networks and Multiobjective Feature Selection for BCI with Multiresolution Analysis
  42. Improving Memory Accesses for Heterogeneous Parallel Multi-objective Feature Selection on EEG Classification
  43. Issues on GPU Parallel Implementation of Evolutionary High-Dimensional Multi-objective Feature Selection
  44. Power-Performance Evaluation of Parallel Multi-objective EEG Feature Selection on CPU-GPU Platforms
  45. DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks
  46. Enabling Validation of IEEE 802.15.4 Performance through a New Dual-Radio Omnet++ Model
  47. Studying the effect of population size in distributed evolutionary algorithms on heterogeneous clusters
  48. Addressing High Dimensional Multi-objective Optimization Problems by Coevolutionary Islands with Overlapping Search Spaces
  49. Assessing Parallel Heterogeneous Computer Architectures for Multiobjective Feature Selection on EEG Classification
  50. Fine-Tuning the DARP Wireless Sensor Routing Protocol
  51. A Methodology to Develop Service Oriented Evolutionary Algorithms
  52. DARP: dynamic and adaptive radio protocol for wireless sensor networks
  53. Tree Depth Influence in Genetic Programming for Generation of Competitive Agents for RTS Games
  54. Identification of saccadic components in spinocerebellar ataxia applying an independent component analysis algorithm
  55. Developing services in a service oriented architecture for evolutionary algorithms
  56. The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming
  57. Deploying intelligent e-health services in a mobile gateway
  58. Service oriented evolutionary algorithms
  59. A DSP embedded system. Application to digital communication systems
  60. Preface to the special issue on: Emerging Applications of Embedded Systems Research
  61. Context-Awareness in a Service Oriented e-Health Platform
  62. Pulse Component Modification Detection in Spino Cerebellar Ataxia 2 Using ICA
  63. Local-global neuro-fuzzy system for color change modelling
  64. Evaluation of electro-oculography data for ataxia SCA-2 classification: A blind source separation approach
  65. Applying independent component analysis to the evaluation of saccadic waveform changes in patients of spino cerebellar ataxia (SCA-2)
  66. Modifications in saccadic pulse and step components in Cuban ataxia SCA2 patients
  67. Predicting marital dissolutions using radial basis function neural networks
  68. A Distributed Service Oriented Framework for Metaheuristics Using a Public Standard
  69. Evolution of XPath Lists for Document Data Selection
  70. Parallel multiobjective memetic RBFNNs design and feature selection for function approximation problems
  71. A Data Mining Approach Based on a Local-Global Fuzzy Modelling for Prediction of Color Change after Tooth Bleaching Using Vita Classical Shades
  72. Independent Component Analysis Aided Diagnosis of Cuban Spino Cerebellar Ataxia 2
  73. Using UN/CEFACT’S Modelling Methodology (UMM) in e-Health Projects
  74. 169. Processing of saccadic electro-oculographic data in clinical studies of SCA2
  75. Using fuzzy logic to improve a clustering technique for function approximation
  76. Studying possibility in a clustering algorithm for RBFNN design for function approximation
  77. Multigrid-based fuzzy systems for time series prediction: CATS competition
  78. A New Multiobjective RBFNNs Designer and Feature Selector for a Mineral Reduction Application
  79. Output value-based initialization for radial basis function neural networks
  80. Improving the accuracy while preserving the interpretability of fuzzy function approximators by means of multi-objective evolutionary algorithms
  81. General Logarithmic Image Processing Convolution
  82. Adaptive fuzzy controller: Application to the control of the temperature of a dynamic room in real time
  83. A Fuzzy-Possibilistic Fuzzy Ruled Clustering Algorithm for RBFNNs Design
  84. C-Means Clustering Applied to Speech Discrimination
  85. Improving the Performance of Multi-objective Genetic Algorithm for Function Approximation Through Parallel Islands Specialisation
  86. Multiobjective RBFNNs Designer for Function Approximation: An Application for Mineral Reduction
  87. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems
  88. Multi-objective evolution of fuzzy systems
  89. A Possibilistic Approach to RBFN Centers Initialization
  90. Approximating I/O Data Using Radial Basis Functions: A New Clustering-Based Approach
  91. Clustering-Based TSK Neuro-fuzzy Model for Function Approximation with Interpretable Sub-models
  92. Designing a Fast Convolution Under the LIP Paradigm Applied to Edge Detection
  93. Improving Clustering Technique for Functional Approximation Problem Using Fuzzy Logic: ICFA Algorithm
  94. Interpretable Rule Extraction and Function Approximation from Numerical Input/Output Data Using the Modified Fuzzy TSK Model, TaSe Model
  95. New Technique for Initialization of Centres in TSK Clustering-Based Fuzzy Systems
  96. RBF CENTERS INITIALIZATION USING FUZZY CLUSTERING TECHNIQUE FOR FUNCTION APPROXIMATION PROBLEMS
  97. Online Global Learning in Direct Fuzzy Controllers
  98. Function Approximation through Fuzzy Systems Using Taylor Series Expansion-Based Rules: Interpretability and Parameter Tuning
  99. The Synergy between Classical and Soft-Computing Techniques for Time Series Prediction
  100. Multiobjective evolutionary optimization of the size, shape, and position parameters of radial basis function networks for function approximation
  101. Automatic Construction of Fuzzy Rule-Based Systems: A trade-off between complexity and accuracy maintaining interpretability
  102. Designing a Phenotypic Distance Index for Radial Basis Function Neural Networks
  103. Performance of Message-Passing MATLAB Toolboxes
  104. Studying the Convergence of the CFA Algorithm
  105. Web newspaper layout optimization using simulated annealing
  106. Structure identification in complete rule-based fuzzy systems
  107. A two-stage approach to self-learning direct fuzzy controllers
  108. Application of Artificial Aging Techniques to Samples of Rum and Comparison with Traditionally Aged Rums by Analysis with Artificial Neural Nets
  109. Statistical analysis of the main parameters involved in the design of a genetic algorithm
  110. A new clustering technique for function approximation
  111. Evolutionary Training of Neuro-fuzzy Patches for Function Approximation
  112. Evolutive Identification of Fuzzy Systems for Time-Series Prediction
  113. Neural Networks, Clustering Techniques, and Function Approximation Problems
  114. Optimization of web newspaper layout in real time
  115. Multidimensional and multideme genetic algorithms for the construction of fuzzy systems
  116. A Novel Approach to Self-Adaptation of Neuro-Fuzzy Controllers in Real Time
  117. Assesing the Noise Immunity of Radial Basis Function Neural Networks
  118. Expert Mutation Operators for the Evolution of Radial Basis Function Neural Networks
  119. RBF Neural Networks, Multiobjective Optimization and Time Series Forecasting
  120. Short-Term Prediction of Chaotic Time Series by Using RBF Network with Regression Weights
  121. SHORT-TERM PREDICTION OF CHAOTIC TIME SERIES BY USING RBF NETWORK WITH REGRESSION WEIGHTS
  122. A systematic approach to a self-generating fuzzy rule-table for function approximation
  123. A new radial basis function networks structure: application to time series prediction
  124. Optimizing web newspaper layout using simulated annealing
  125. SA-prop: Optimization of multilayer perceptron parameters using simulated annealing
  126. Optimizing web page layout using an annealed genetic algorithm as client-side script
  127. A First Approach to Birth Weight Prediction Using RBFNNs
  128. Boosting the Performance of a Multiobjective Algorithm to Design RBFNNs Through Parallelization
  129. Parallel Multi-objective Memetic RBFNNs Design and Feature Selection for Function Approximation Problems
  130. Self-adaptive robot control using fuzzy logic
  131. Soft-computing techniques for the development of adaptive helicopter flight controller
  132. Supervised RBFNN Centers and Radii Initialization for Function Approximation Problems
  133. Fine control of monotonic systems using a global self-learning adaptive fuzzy controller
  134. Multigrid-based fuzzy systems for time series prediction: CATS competition
  135. Structure identification of fuzzy controllers in real time
  136. A method for structure identification in complete rule-based fuzzy systems
  137. A new sequential learning algorithm using pseudo-Gaussian functions for neuro-fuzzy systems
  138. An enhanced self-organizing controller for real-time process-control applications
  139. Fine tuning of fuzzy controllers using a two-stage algorithm
  140. G-Prop-II: global optimization of multilayer perceptrons using GAs