Exploring Intelligent Systems in the IoT Landscape: A Comparative Study
摘要
Recently, much attention has been paid to the Internet of Things (IoT) and intelligent systems integration because of the potential for revolutionizing many sectors and improving daily lives. With an emphasis on their development, application, and future possibilities, this research paper extensively analyzes IoT-based intelligent systems. The research commences by delving into the basic principles of the IoT and intelligent systems, clarifying their mutual dependence and complementary powers. The significance of artificial intelligence (AI) methods in facilitating intelligent decision-making in IoT ecosystems is emphasized, particularly in deep learning (DL) and machine learning (ML). Furthermore, the paper analyzes many applications with exceptional potential for IoT-based intelligent systems. These applications range from healthcare to agriculture to smart cities. This paper also covers the potential and difficulties of implementing IoT-based intelligent systems. Finally, this research provides a roadmap for the future advancements and implementation of IoT-based intelligent systems. This paper offers a thorough analysis of IoT-based intelligent systems, rendering it an invaluable resource for scholars, professionals, and interested parties seeking to comprehend the present situation and potential developments surrounding this rapidly expanding field. Society may embark on a road to a smarter, more connected, and more sustainable future by leveraging the power of IoT and AI.