Aim and Scope

Aim

The journal aims to provide a high-impact international platform for the publication of advanced research in computer science and artificial intelligence, with a strong emphasis on data-driven methodologies and intelligent systems applied to real-world challenges.

The journal particularly promotes innovative research that integrates computational intelligence with interdisciplinary domains, including environmental sustainability, engineering applications, and emerging digital technologies.

Scope

The journal welcomes original research articles, review papers, and technical contributions in the following areas, including but not limited to:

🔹 Core Areas: Artificial Intelligence and Computational Science

  • Machine Learning, Deep Learning, and Reinforcement Learning
  • Large Language Models and Generative AI
  • Data Mining, Big Data Analytics, and Predictive Modeling
  • Explainable AI and Trustworthy AI

🔹 Computational Intelligence and Advanced Algorithms

  • Optimization Techniques (Metaheuristics, Hybrid Algorithms)
  • Evolutionary Computation and Swarm Intelligence
  • Graph Theory and Complex Systems Modeling

🔹 Intelligent Systems and Digital Technologies

  • Decision Support Systems and Expert Systems
  • Internet of Things (IoT) and Embedded Systems
  • Cloud Computing and Distributed Systems
  • Cybersecurity and Digital Forensics

🔹 AI for Environmental and Sustainable Technologies

  • AI for Environmental Monitoring and Smart Ecosystems
  • Renewable Energy Optimization and Smart Grids
  • Climate Data Analytics and Sustainability Modeling
  • Green Computing and Energy-efficient Systems

🔹 Interdisciplinary and Emerging Applications

  • AI in Healthcare, Education, and Social Systems
  • Digital Transformation and Technopreneurship
  • Human-centered AI and Socio-technical Systems
  • Integration of AI in multidisciplinary scientific domains