Focus & Scope
The journal's scope encompasses, but is not limited to, the following key areas of Artificial Intelligence research and applications:
1. Core AI Theory & Methodologies
- Machine Learning (Deep Learning, Reinforcement Learning)
- Neural Networks and Architectures
- Natural Language Processing (NLP)
- Computer Vision and Image Processing
- Robotics and Autonomous Systems
- Knowledge Representation and Reasoning
- Optimization and Evolutionary Algorithms
2. AI for Sustainable Development
- AI for Climate Change and Environmental Monitoring
- AI in Renewable Energy and Resource Management
- AI for Smart Agriculture and Food Security
- AI supporting UN Sustainable Development Goals (SDGs)
3. Next-Generation & Emerging AI
- Quantum Artificial Intelligence
- Neuromorphic Computing
- Explainable & Interpretable AI
- Edge AI and Distributed Systems
- AI with Blockchain and IoT
4. AI in Engineering & Intelligent Systems
- AI in Power Electronics and Drive Systems
- Smart Grids, Energy Forecasting, and Load Management
- Industrial Automation and Industry 4.0
- AI in Civil, Mechanical, and Aerospace Engineering
5. Applied & Cross-Disciplinary AI
- AI in Healthcare and Biomedicine
- AI in Finance, Business, and E-Commerce
- AI in Education and Adaptive Learning Systems
- AI in Smart Cities and Transportation
6. Ethical & Human-Centric AI
- AI Ethics, Fairness, and Transparency (FAccT)
- Bias Mitigation and Algorithmic Justice
- AI Policy and Governance
- Human-AI Collaboration and Future of Work
- Privacy, Security, and Trustworthy AI Systems