Optimization, Artificial Intelligence and Machine Learning in IoT
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Optimization, Artificial Intelligence, and Machine Learning in IoT represent a cutting-edge and dynamic research field that integrates advanced computational techniques with IoT devices. This area focuses on enhancing the intelligence, efficiency and functionality of IoT systems through optimization algorithms, predictive ML models, and AI-driven decision-making models. By exploring these technologies, we can develop smarter, more responsive, and efficient IoT systems that adapt to a wide range of applications, from large-scale smart cities and industrial automation to subminiature implant medical devices. This field offers students a unique opportunity to be at the forefront of technological innovation, solving real-world problems, contributing to the advancement of intelligent systems, and making a significant impact on the future of intelligent environments.
