Téléchargez le livre : Green Internet of Things and Machine Learning

Green Internet of Things and Machine Learning

Towards a Smart Sustainable World

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Éditeur :

Wiley-Scrivener


Paru le : 2022-01-10



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Description
Health Economics and Financing
Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment.
The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier.
Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare.
Audience
The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.
Pages
384 pages
Collection
n.c
Parution
2022-01-10
Marque
Wiley-Scrivener
EAN papier
9781119792031
EAN PDF
9781119793137
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
384
Taille du fichier
20664 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
223,61 €
EAN EPUB
9781119793120
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
384
Taille du fichier
8950 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
223,61 €

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