Название: Cloud-IoT Technologies in Society 5.0Автор: Kamta Nath Mishra, Subhash Chandra Pandey
Издательство: Springer
Год: 2023
Страниц: 350
Язык: английский
Формат: pdf
Размер: 17.7 MB
This book provides in-depth knowledge in the areas of convergence of cloud-IoT technologies and industry 4.0 with society 5.0, machine-to-machine communication, machine-to-person communication, techno-psychological perspective of society 5.0, sentiment analysis of smart digital societies, multi-access edge computing for 5G networks, discovery & location reporting of multi-access edge enabled clients/servers, m-health systems, enhancing the concert of M-health technologies in smart societies, supervising communication services in smart societies, life quality enhancement in smart city societies, multiple disease infection predictions, and societal opinion mining algorithms for smart cities societies using cloud-IoT integrated intelligent Machine/Deep Learning technologies to the readers in the distributive environment. In this book, the authors have mandatorily discussed the implementation of cloud-IoT based machine learning technologies like clustering technique, Naïve Bayes classifier, artificial neural network (ANN), Firefly algorithm, Rough set classifiers, support vector machine classifier, decision tree classifier, ensemble classifier, random forest, and Deep Learning algorithms to analyze the behavior of intelligent machines and human habits using automated data scheduling and smart digital networks.
As prerequisites, we assume that the readers are familiar with the basics of intelligent computing techniques, cloud computing environments, the Internet of Things (IoT), Machine Learning, and Python language. The topics like the techno-psychological perspective of Society 5.0, and sentiment analysis of smart digital societies require a basic understanding of rural/urban societies and the general human psychologies. But, the readers can still understand the described approaches of psychological models of technophobia, societal data processing, sentiment data analysis, sentiment evaluation approaches, multi-access edge computing, video surveillance technologies.
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