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Smart System and Computational Intelligence and its Application

Editorial Board
Lead Guest Editors:
  • Robbi Rahim (Synthesis Publication Research Group)
Aims & Scope
Computational Intelligence (C1) are mature branches of Artificial Intelligence. The main feature common to the techniques they deal with is that, given a problem, they mimic a natural system or process to construct a solution that is optimal for both quality and robustness. The analogies and abstractions developed in these fields have been able to provide valuable insights for successful algorithmic design and improvement, in many cases outperforming traditional search and heuristics. Relevant examples include fuzzy systems, evolutionary algorithms, and neural networks.CI has demonstrated to be able to produce human-competitive results, as has happened with neural models that have led to the development of Deep Learning, or with the study of artificial evolution and the development of Genetic Algorithms and Genetic Programming. These techniques have been particularly successful in the fields of Pattern Recognition and Data Analytics.The aim of this Special Issue is to gather and present recent work where CI algorithms are specifically designed for, or applied to, solving complex real-world problems in Data Analytics and Pattern Recognition, by means of:•state-of-the-art methods having general applicability,•domain-specific solutions, or•hybrid algorithms that integrate CI with traditional numerical and mathematical methods.
  • Advanced Computing
  • Artificial Intelligence and Machine Learning
  • Computer Graphics - Simulation and Modeling
  • Pattern Recognition and Analysis
  • Robotics and Machine Vision
  • Computational Intelligence
  • Signal and Image Processing
  • Green Computing
  • Mobile Computing
  • Ubiquitous Computing
  • Cryptography and Applied Mathematics
  • Intelligent Models and Applications
  • Ant Colony for Neural Network Optimization
  • Genetic Algorithms for Hybrid Intelligent Systems Design
  • Genetic Fuzzy Systems
  • Genetic Neural Systems
  • Hybrid Evolutionary Algorithms
  • Hybrid optimization techniques
  • Neuro-Fuzzy-Genetic Approaches
  • Smart Technologies
  • Internet of Things
  • Geographic Information system
  • Industrial IoT
  • Kinematics, dynamics, control and simulation of autonomous intelligent systems
  • Man-machine interface and integration
  • Human Computer Interaction
  • Health Informatics

Scalable Information Systems
Submission Closed