Internet of Things and Artificial Intelligence for Smart Environments [electronic resource] / edited by Hoe Tung Yew, Mazlina Mamat, Jamal Ahmad Dargham, Chung Seng Kheau, Ervin Gubin Moung.

Colaborador(es): Yew, Hoe Tung [editor.] | Mamat, Mazlina [editor.] | Dargham, Jamal Ahmad [editor.] | Seng Kheau, Chung [editor.] | Moung, Ervin Gubin [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Internet of Things, Technology, Communications and ComputingEditor: Singapore : Springer Nature Singapore : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XI, 223 p. 94 illus., 81 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9789819714322Tema(s): Internet of things | Artificial intelligence | Machine learning | Internet of Things | Artificial Intelligence | Machine LearningFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 004.678 Clasificación LoC:TK5105.8857Recursos en línea: Libro electrónicoTexto
Contenidos:
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.
En: Springer Nature eBookResumen: 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.
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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.

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.

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