The Journal of Intelligent Computing and Autonomous Systems (JICAS) is an international, peer-reviewed scholarly journal dedicated to publishing high-quality research in the areas of intelligent computing, artificial intelligence, and autonomous systems. The journal provides a professional platform for researchers, academicians, and industry practitioners to share innovative and original contributions that advance both theoretical foundations and practical applications in these domains.

The journal focuses on encouraging interdisciplinary research that integrates computer science, engineering, data science, and emerging technologies to develop intelligent systems capable of learning, reasoning, perception, and autonomous decision-making. It emphasizes research that contributes to solving complex real-world problems through advanced computational techniques and intelligent system design.

Aims of the Journal

The primary aims of the journal are:

• To promote original and impactful research in intelligent computing and autonomous systems
• To encourage innovation in artificial intelligence, machine learning, and related fields
• To support the development of autonomous, adaptive, and intelligent technologies
• To provide a global platform for academic and industrial research dissemination
• To strengthen collaboration between researchers, engineers, and practitioners
• To maintain high standards of ethical and transparent publication practices

Scope of the Journal

The journal covers a broad range of topics, including but not limited to:

Artificial Intelligence and Machine Learning

• Machine learning algorithms and models
• Deep learning and neural networks
• Reinforcement learning
• Explainable and responsible AI

Intelligent Computing

• Cognitive computing systems
• Intelligent decision-making systems
• Knowledge representation and reasoning
• Soft computing methods

Autonomous Systems and Robotics

• Autonomous vehicles and navigation systems
• Robotics and automation
• Swarm intelligence and multi-agent systems
• Self-adaptive and self-organizing systems

Computer Vision and Natural Language Processing

• Image and video analysis
• Pattern recognition
• Natural language processing
• Speech and signal processing

Data Science and Intelligent Applications

• Big data analytics
• Internet of Things (IoT) systems
• Cyber-physical systems
• Smart and connected environments

Types of Contributions

The journal accepts the following types of manuscripts:

• Original research articles
• Review articles
• Technical papers
• Case studies
• Short communications

Publication Policy

All submissions undergo a rigorous double-blind peer-review process to ensure originality, scientific quality, and academic integrity. The journal follows strict ethical publishing standards and encourages reproducible, transparent, and impactful research contributions.