About the Journal
Journal of Computational Intelligence and Machine Learning (JCIML) is a peer-reviewed, half-yearly scholarly journal published by Adeon Global. The journal is dedicated to advancing research, innovation, and the practical application of computational intelligence, machine learning, artificial intelligence, and related intelligent computing technologies.
JCIML provides an international platform for researchers, academicians, scientists, engineers, industry professionals, and research scholars to disseminate original and high-quality research addressing theoretical foundations, computational methods, algorithmic developments, and real-world applications of intelligent systems. The journal encourages contributions that explore the development of intelligent algorithms capable of learning, reasoning, adapting, optimizing, and making decisions from complex and large-scale data.
The journal covers both foundational and applied research in areas such as machine learning, deep learning, neural networks, evolutionary computing, fuzzy systems, natural language processing, computer vision, reinforcement learning, data mining, intelligent robotics, and hybrid intelligent systems. It particularly welcomes interdisciplinary research that applies computational intelligence and machine learning to engineering, healthcare, business, finance, education, agriculture, cybersecurity, environmental studies, and other emerging domains.
Through the publication of rigorous and innovative research, the Journal of Computational Intelligence and Machine Learning aims to promote knowledge exchange, encourage collaboration between academia and industry, and contribute to the responsible development and adoption of next-generation intelligent technologies.
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