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Scope
The Air Journal of Artificial Intelligence publishes high-quality research that spans the theoretical, computational, and applied aspects of Artificial Intelligence, Computational Intelligence, Control Systems, and Computer Science. Its scope includes, but is not limited to:
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Artificial Intelligence (AI): Machine learning, deep learning, natural language processing, computer vision, reinforcement learning, and AI applications in real-world systems.
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Computational Intelligence: Neural networks, fuzzy systems, evolutionary algorithms, swarm intelligence, and hybrid intelligent systems.
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Control Systems: Automation, robotics, intelligent control, process control, and adaptive or predictive control systems.
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Computer Science & Data Engineering: Big data analytics, cloud computing, cybersecurity, algorithm design, and high-performance computing.
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Interdisciplinary Applications: AI integration with healthcare, finance, autonomous systems, smart cities, IoT, and other emerging technologies.
The journal prioritizes studies that combine methodological rigor, scientific originality, and practical relevance, fostering research that contributes to both theoretical understanding and technological innovation. It provides a global, open-access platform for researchers, academicians, and industry professionals to disseminate knowledge, collaborate across disciplines, and drive advancements in AI and related fields.