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020 _a9783031287114
024 7 _a10.1007/978-3-031-28711-4
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aTK5105.8857
_b2023 EB
100 1 _aMishra, Kamta Nath
_d1973-
_eautor
_4http://id.loc.gov/vocabulary/relators/aut
_9689457
245 1 0 _aCloud-IoT Technologies in Society 50
_cby Kamta Nath Mishra PhD, Subhash Chandra Pandey PhD
250 _a1st ed 2023
264 1 _aCham
_bSpringer Nature Switzerland
_c2023
300 _a1 recurso en línea
336 _atexto
_btxt
_2rdacontent
337 _aelectrónico
_bc
_2rdamedia
338 _arecurso electrónico
_bcr
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347 _atext file
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505 0 _aChapter 1: Convergence of Cloud-IoT, Industry 4.0 and Society 5.0 -- Chapter 2: A Glimpse of Techno-Psychological Perspective of Society 5.0 -- Chapter 3: Behavior and Sentiment Analysis of Smart Digital Societies Using Deep Machine Learning Technologies -- Chapter 4: Multi-Access Edge Computing for 5G Networks in Cloud-IoT Integrated Environment -- Chapter 5: Discovery and Location Reporting of Multi-access Edge Enabled Clients and Servers for 5G Networks -- Chapter 6: Enhancing the Concert of M-health Technologies in Smart Societies Using Cloud-IoT Based Distributive Networks -- Chapter 7: Supervision of Communication and Control Services in Societies of Smart Cities Using Sheltered Cloud-Based Confirmation and Access Techniques -- Chapter 8: Life Quality Improvement in Smart City Societies Using Cloud-IoT and Deep Machine Learning (CIDML) Technologies -- Chapter 9: Multiple Disease Infection Prediction in Smart Societies Using Intelligent Machine Learning Techniques -- Chapter 10: Societal Opinion Mining Using Machine Intelligence.
520 _aThis 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.At present, we live in a self-motivated and dynamic global society where technologies and challenges are unexpectedly changing overnight. These rapid changes in globalization and technological advances are creating new market forces every day. Therefore, day-to-day innovation is essential for any business or institution to survive and flourish in such an atmosphere. Though, innovation is no longer just to create value to do good to individuals, societies, or organizations. The utmost purpose of innovation is to create a smart futuristic society where people can enjoy the best quality of life using natural resources and manmade technologies including cloud-IoT technologies, and industry4.0. Hence, the innovators and their innovations must search for intelligent solutions to tackle major socio-technical problems and remove barriers of rural, urban and smart city societies. The smart digitization and intelligent implementation of manufacturing development processes are the necessities for today's rural, urban, and smart city industries. All types of industries including development, manufacturing, and research are presently shifting from bunch production to customized production. The fast advancements in manufacturing technologies have an in-depth impact on all types of societies including societies of rural areas, urban areas, and smart cities. Industry 4.0 includes the Internet of Things (IoT), Industrial Internet, Smart Manufacturing, Cloud-based computing, and Manufacturing Technologies. The objective of this book is to establish linkage between the Industry 4.0 components and various rural, urban & smart city societies (including society 5.0) to bring actual prosperity where human values, peace of mind, human relations, man-machine-relations, and calmness will have utmost preference. These objectives can be achieved by the integration of human societal values, and social opinion mining (SOM) approaches with the existing technologies.
988 _aSpringer_Computer_2023
650 7 _2embne
_9483083
_aInternet de los objetos
700 1 _9689458
_aPandey, Subhash Chandra
_d1965-
_eautor
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-28711-4
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
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998 _b01/2024
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