Aims and Scope

Aim:
The Journal of Computational Intelligence and Smart Systems aims to advance research and innovation in computational intelligence, artificial intelligence, and smart systems by providing a high-quality platform for researchers, academicians, and professionals. The journal seeks to publish cutting-edge theoretical and applied research that contributes to the development of intelligent algorithms, automated decision-making, and real-world applications. It fosters interdisciplinary collaboration to address challenges in AI-driven technologies and smart computing.

Scope:
The journal covers a broad range of topics in computational intelligence, including but not limited to neural networks, fuzzy logic, evolutionary computing, and deep learning. It welcomes research on artificial intelligence applications in robotics, natural language processing, image processing, and intelligent automation. The journal also focuses on smart systems such as the Internet of Things (IoT), cyber-physical systems, and edge computing. It encourages studies on AI ethics, explainability, and fairness in intelligent decision-making. Contributions in hybrid AI models, reinforcement learning, and data-driven optimization techniques are also featured. The journal serves as a bridge between theoretical advances and practical implementations, fostering innovation across academia and industry. It invites original research articles, review papers, and case studies that push the boundaries of computational intelligence and smart technologies.