Artificial Intelligence Research and Applications

About the Journal

Artificial Intelligence Research and Applications (AIra) is a scholarly, peer-reviewed, open-access academic journal disseminating cutting-edge research in artificial intelligence (AI). As AI continues to evolve and impact numerous fields, AIra is an important platform for researchers, academicians, and industry professionals to present their latest findings, theories, methodologies, and applications in AI. The journal aims to promote innovation, encourage interdisciplinary collaboration, and support responsible and ethical development of AI technologies.

AIra embraces a broad scope, covering diverse areas of artificial intelligence. We welcome original research, review articles, case studies, and technical reports that explore theoretical advancements, algorithmic developments, and practical AI applications across various domains. The topics of interest include, but are not limited to:

• Machine Learning & Deep Learning: Supervised, unsupervised, reinforcement learning techniques, neural networks, and optimization strategies.
• Neural Networks & Fuzzy Systems: Artificial and spiking neural networks, adaptive learning mechanisms, and fuzzy logic-based AI models.
• Natural Language Processing (NLP): Text mining, sentiment analysis, machine translation, speech recognition, large language models, and generative AI.
• Computer Vision & Image Processing: Object detection, image classification, facial recognition, AI-driven video analysis, and multimodal learning.
• AI in Robotics & Autonomous Systems: Intelligent control, human-robot interaction, motion planning, swarm intelligence, and soft robotics.
• AI Ethics & Fairness: Bias detection, interpretability, transparency, privacy preservation, and the responsible use of AI in society.
• Reinforcement Learning & Optimization: Multi-agent systems, game theory, AI-driven decision-making models, and real-world applications of reinforcement learning.
• AI in Healthcare, Finance, and Other Domains: AI-driven medical diagnostics, personalized medicine, financial modeling, fraud detection, AI solutions for smart cities, and AI in legal and governance systems.
• Hybrid AI Models & Explainable AI (XAI): Neuro-symbolic AI, hybrid machine learning techniques, interpretable AI models, and AI model trustworthiness.
• AI Applications in Industry 4.0 & Smart Systems: AI-powered automation, predictive maintenance, digital twins, IoT-integrated AI solutions, and AI-driven cybersecurity.
• AI for Sustainable Development & Climate Change: AI applications in renewable energy, climate modeling, environmental monitoring, disaster prediction, and sustainable smart grids.
• Quantum AI & Next-Generation Computing: AI algorithms for quantum computing, neuromorphic computing, and advanced AI computation frameworks.
• Human-centered AI & Augmented Intelligence: AI-assisted creativity, collaborative AI, human-in-the-loop learning, and AI for education.
• Edge AI & Distributed AI Systems: AI at the edge, federated learning, decentralized AI systems, and AI in embedded systems.
• AI in Smart Grids & Energy Management: AI-driven demand response, energy consumption forecasting, grid stability enhancement, and decentralized energy systems.
• AI in Power Electronics: Intelligent control strategies for power converters, fault detection, efficiency optimization, and AI-integrated power systems.
• AI in Renewable Energy: Predictive maintenance for solar and wind farms, optimization of energy storage, AI-driven grid integration, and sustainable energy solutions.
• AI in Engineering: AI solutions for engineering problems, including advanced models and applications.
• AI in Education & E-Learning: AI applications related to education and e-learning methods.
• AI in Cybersecurity: Applying artificial intelligence and machine learning techniques to enhance the security of computer systems, networks, and data from various cyber threats.

Journal Contact

Mailing Address

Senol Caddesi, 130/4, Gazi Mahallesi, Yenimahalle, 06560, Ankara/Turkey

Principal Contact

Professor ilhami COLAK
Istinye University, Istanbul/Turkiye
Phone: +905325996112
Email: editoraira@gmail.com

Support Contact

Professor ilhami Colak
Email: ilhcol@gmail.com; editoraira@gmail.com; editor@ijaira.org

https://www.ijaira.org

Online ISSN: 3108-3889

Publisher:INSMARTGRID

https://www.ilhamicolak.org/english.htm