All Stories

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