About the Journal

AIRA: Artificial Intelligence Research and Applied Learning

ISSN (e): 000-0000

AIRA(Artificial Intelligence Research and Applied Learning), is a prominent scholarly, peer-reviewed, open-access academic journal dedicated to disseminating cutting-edge research in the vast and rapidly evolving field of artificial intelligence (AI). It serves as a crucial platform for researchers, academicians, and industry professionals to present their latest findings, innovative theories, robust methodologies, and practical applications in AI. The journal's commitment to open access ensures that its valuable contributions are widely accessible, promoting rapid advancements and collaborative efforts in the AI community.

Focus And Scope

The journal's scope encompasses, but is not limited to, the following key areas:

1. Core AI Theory & Methodologies:

• Machine Learning (Deep Learning, Reinforcement Learning, Supervised/Unsupervised Learning)

• Neural Networks and Architectures

• Natural Language Processing (NLP) and Computational Linguistics

• Computer Vision and Image Processing

• Robotics and Autonomous Systems

• Knowledge Representation and Reasoning

• Search, Optimization, and Evolutionary Algorithms

2. AI for Sustainable Development & Global Challenges:

• AI for Climate Change, Environmental Monitoring, and Conservation

• AI in Renewable Energy Systems and Resource Management

• AI for Smart Agriculture and Food Security

• AI applications in support of the UN Sustainable Development Goals (SDGs)

3. Next-Generation & Emerging AI Paradigms:

• Quantum Artificial Intelligence (Quantum Machine Learning, Quantum Algorithms)

• Neuromorphic Computing and Brain-Inspired AI

• Explainable AI (XAI) and Interpretable Machine Learning

• Edge AI and Distributed Intelligence

• AI at the intersection of other disruptive technologies (e.g., Blockchain, IoT)

4. AI in Engineering & Intelligent Systems:

• AI in Power Electronics and Drive Systems

• AI for Smart Grids, Energy Forecasting, and Load Management

• AI in Industrial Automation, Predictive Maintenance, and Industry 4.0/5.0

• AI in Civil, Mechanical, and Aerospace Engineering

5. Applied AI & Cross-Disciplinary Applications:

• AI in Healthcare, Biomedicine, and Genomics

• AI in Finance, Business, and E-Commerce

• AI in Education and Applied Learning Technologies (Personalized Learning, Adaptive Systems)

• AI in Smart Cities, Urban Planning, and Transportation

6. Ethical, Societal, & Human-Centric AI:

• AI Ethics, Fairness, Accountability, and Transparency (FAccT)

• Bias Mitigation and Algorithmic Justice

• Policy, Governance, and Regulatory Frameworks for AI

• Societal Impact, Future of Work, and Human-AI Collaboration

• Privacy, Security, and Trustworthy AI Systems

AIRA aiming to contribute significantly to both the academic understanding and practical implementation of artificial intelligence. We publish twice a year, starting from January 2022.

AIRA is committed to being the main reference source that supports the dissemination of relevant and up-to-date knowledge, facilitates scientific discussion, and encourages multidisciplinary collaboration. Explore our archives to find the latest findings or submit your manuscript and become part of our dynamic community!