AVE Trends in Intelligent Computing Systems

Aims and Scope

AVE Trends in Intelligent Computing Systems (ATICS) is dedicated to publishing original research papers in computer science and related topics in system science. The journal pays particular emphasis to the mathematical theory that is pertinent to the field. It is also possible for applications-oriented papers to be accepted, and it is anticipated that these papers will include in-depth analytical evaluations of the proposed solutions. ATICS aims to discuss the theory, applications, and design methods of computational intelligence, which are entrenched in engineering and computer science, as well as the methodology that underlies these areas of study. ATICS is a collection of computational intelligence encompassing a wide range of fields, including but not limited to neural networks, connectionist systems, genetic algorithms, evolutionary computation, artificial intelligence, cellular automata, self-organizing systems, fuzzy systems, and hybrid intelligent systems. The short publication timeframe and the worldwide distribution, which permit wide and speedy dissemination of research output, are of great value to both the contributors and the readership. This also makes the publication timeframe particularly valuable. Additionally, it suggests new frameworks and architectures for future sustainable computing, efficient modelling simulation, targeted mathematical models, and theoretical design, and all of these are also included in the report. 

Topics covered include:
  • Theory of algorithms and computability/Pervasive Systems
  • Formal languages/ Web and Mobile Applications
  • Gamification Application and Technologies/ Automata theory
  • Applied Information Systems/Complexity theory
  • Data Intelligence /Algorithmic Complexity/ Computer Application
  • Sustainability/Parallel & distributed computing/ Internet of Things
  • Advanced Computational Intelligence/ Computer networks
  • Intelligent and Decision Support Systems/ Neural networks
  • Information and Knowledge Management/ Computational learning
  • Data Engineering, Analytics, and Applications/ Future of Smart Cities
  • Ethics, Security, and Privacy/Computer modeling of complex systems
  • Interoperability/Information System and Telecommunication

  • ISSN(Online)2998-3185
  • Publication Frequency4 Issues per year