Yew, Hoe Tung. editor. edt http://id.loc.gov/vocabulary/relators/edt Mamat, Mazlina. editor. edt http://id.loc.gov/vocabulary/relators/edt Dargham, Jamal Ahmad. editor. edt http://id.loc.gov/vocabulary/relators/edt Seng Kheau, Chung. editor. edt http://id.loc.gov/vocabulary/relators/edt Moung, Ervin Gubin. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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access XI, 223 p. 94 illus., 81 illus. in color. online resource. This book highlights the application of smart technologies that utilize the Internet of Things (IoT) and Artificial Intelligence (AI) to enhance efficiency and productivity across various industries. It provides a comprehensive review of the latest IoT and AI developments, including their applications, opportunities, and challenges in smart environments. This book is a valuable resource for researchers, engineers, academics, and students working on implementing smart technologies. Internet-Of-Things: Applications, Challenges, And Future Trends -- IoT-Based Patient Monitoring System -- Enhancing Lettuce Production Quality Through Iot-Enabled Hydroponic Farming: An Optimized Fertilizer System Approach -- Iot Based Vending Machine -- Artificial Intelligence (AI) and the Future of Mankind -- Artificial Intelligence Offline, Online and Reinforcement Learning Approaches in Time Series Air Pollutant Index Prediction -- Artificial Intelligence in Time Series Prediction, Classification, and Sequence-to-Sequence Problems -- Fuzzy-Based Handover Scheme for 5G Heterogeneous Networks -- Estimating Shelf Life of Packed Fresh Milk Using Odor and Machine Learning A Feasibility Study -- Deep Learning Architectures and Their Efficacy in Surveillance Face Recognition A Study with the ChokePoint Dataset. edited by Hoe Tung Yew, Mazlina Mamat, Jamal Ahmad Dargham, Chung Seng Kheau, Ervin Gubin Moung. Internet of things Artificial intelligence Machine learning Internet of Things Artificial Intelligence Machine Learning TK5105.8857 9789819714322 https://doi.org/10.1007/978-981-97-1432-2 https://doi.org/10.1007/978-981-97-1432-2 240604 20251030112259.0 978-981-97-1432-2