AVE Trends in Intelligent Computing Research

Aims and Scope
AVE Trends in Intelligent Computing Research (ATICR) serves as a global platform fostering communication and collaboration among researchers, academicians, and industry professionals in the field of intelligent computing. The journal is dedicated to publishing innovative research outcomes and technological advancements that contribute to the growth of intelligent computing and its impact on improving human well-being. ATICR emphasizes research addressing real-world challenges through intelligent computing, soft computing, and cybernetics-based approaches. It provides a forum for high-quality contributions in applications, methodologies, and practical implementations related to cybernetic and intelligent systems. The journal particularly focuses on understanding the principles of natural computation and control, and how these concepts can be adapted to advance computer science and enhance communication and control mechanisms in both societal and individual contexts. The scope of ATICR includes the development and application of algorithms, models, and theories that solve complex problems across diverse domains. Special emphasis is placed on interdisciplinary research that integrates intelligent computing techniques into business systems, organizational structures, strategic decision-making processes, and socio-technical environments. Through this focus, ATICR aims to bridge theory and practice, promoting solutions that are both innovative and applicable to real-world scenarios.
Topics covered include:
  • Big Data Analytics and Data Mining
  • Computer Vision and Intelligent Robotics
  • Trusted Computing and Privacy-Preserving Technologies
  • Ubiquitous and Transparent Computing
  • Next-Generation/Quantum, Photonic, Bio-computing
  • Cognitive Computing and Human–Computer Interaction
  • Swarm Intelligence and Distributed Artificial Intelligence
  • Signal Processing and Intelligent Systems
  • Sustainable Cloud and Edge Computing
  • Climate Change and Environmental Computational Models
  • Bio-inspired Computing for Energy Efficiency
  • Renewable Energy Integration in Computing Systems
  • Intelligent Manufacturing Systems and Industry 4.0
  • Autonomous Systems and Agent-Based Computing
  • Engineering Optimization, Fault Diagnosis, and Decision Support 
  • Technological Impact on Social, Economic, and Business Systems

  • Publication Frequency4 Issues per year