Focus and Scope

Journal of Intelligent Computing, Systems, and Applications (JICSA) aims to publish high-quality, peer-reviewed research and review articles across a wide spectrum of disciplines. The journal encourages submissions that demonstrate practical applications, interdisciplinary insights, and technological innovation. The scope of the journal includes, but is not limited to, the following themes:

• Artificial Intelligence (AI)
  JICSA welcomes original research and applied studies in the field of Artificial Intelligence, including but not limited to:

  • Machine Learning and Deep Learning

  • Natural Language Processing (NLP)

  • Computer Vision and Image Processing

  • Expert Systems and Intelligent Agents

  • Reinforcement Learning and Autonomous Systems

  • Explainable AI (XAI), Ethical AI, and Trustworthy AI

• Computing
  The journal focuses on a wide range of computing technologies and paradigms, such as:

  • High Performance and Parallel Computing

  • Cloud, Edge, and Fog Computing

  • Quantum Computing and Emerging Architectures

  • Software Engineering, Algorithms, and Optimization

  • Distributed Systems and Embedded Computing

  • Human-Computer Interaction (HCI) and User Experience (UX) Design

• Electrical and Electronics Engineering
  Contributions that integrate intelligent systems in the field of electrical and electronics engineering are highly encouraged, including:

  • Internet of Things (IoT) and Smart Devices

  • Signal Processing and Wireless Communications

  • Power Systems, Smart Grids, and Renewable Energy

  • Robotics, Mechatronics, and Automation

  • Control Systems and Real-Time Applications

  • Cyber-Physical Systems and Sensor Networks

• Data Science and Analytics
  JICSA supports interdisciplinary research in data-driven decision making and analytics, including:

  • Big Data Processing and Scalable Data Systems

  • Data Mining, Pattern Recognition, and Knowledge Discovery

  • Predictive Modeling and Prescriptive Analytics

  • Business Intelligence and Strategic Data Applications

  • Data Visualization, Dashboards, and Interaction Design

  • Data Ethics, Privacy, and Governance

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