International Journal of AI and Machine Learning Innovations in Electronics and Communication Technology

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About Us

It is a peer-reviewed, bi-annual journal published by MAT Journals Pvt. Ltd. It focuses on the rapid publication of quality research in artificial intelligence, machine learning, and their applications in electronics and communication engineering. The journal serves as a platform for researchers, academicians, and industry professionals to share innovative ideas, methodologies, and practical developments in intelligent communication systems. It welcomes original research papers, review articles, and case studies covering AI-driven communication networks, intelligent signal processing, embedded machine learning, automation frameworks, and smart electronic system design. Committed to academic excellence, the journal aims to bridge the gap between theoretical advancements and industrial applications by highlighting emerging technologies and practical AI/ML solutions in the field.

Aim

International Journal of AI and Machine Learning Innovations in Electronics and Communication Technology aims to publish highquality research articles, review papers, and case studies centered on the integration of Artificial Intelligence (AI) and Machine Learning (ML) with modern electronics and communication systems. The journal promotes interdisciplinary research and emphasizes advancements in intelligent signal processing, AI-driven communication protocols, automation in electronic system design, smart wireless networks, and emerging ML-based optimization techniques. By bridging cutting-edge computational intelligence with practical engineering applications, it serves as a vital platform for academics, researchers, and industry professionals seeking to stay informed about transformative trends, technological innovations, and real-world implementations of AI and ML in contemporary electronics and communication technology.

Focus and Scope

AI Signal Processing ML Noise Reduction Data Compression AI Artificial Intelligence in Electronics Machine Learning for Communication Systems Deep Learning-based Signal Processing

Neural Networks for Wireless Communication AI-driven Network Optimization IoT and AI-integrated Communication Edge AI and Edge Computing 5G/6G Communication with ML Approaches AI-enabled Sensor Networks