AIRA (Artificial Intelligence Research and Applied Learning)

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

Indexing & Abstracting