Titlebook: Digital Transformation; Industry 4.0 to Soci Avadhesh Kumar,Shrddha Sagar,B. Balamurugan Book 2024 The Editor(s) (if applicable) and The Au

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書目名稱Digital Transformation影響因子(影響力)




書目名稱Digital Transformation影響因子(影響力)學(xué)科排名




書目名稱Digital Transformation網(wǎng)絡(luò)公開度




書目名稱Digital Transformation網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Digital Transformation被引頻次




書目名稱Digital Transformation被引頻次學(xué)科排名




書目名稱Digital Transformation年度引用




書目名稱Digital Transformation年度引用學(xué)科排名




書目名稱Digital Transformation讀者反饋




書目名稱Digital Transformation讀者反饋學(xué)科排名

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Book 2024ons from experts in Cyber-Physical Systems (CPS), the Internet of Things (IoT), Industrial Internet of Things (IIoT), cloud computing, cognitive computing, and artificial intelligence across the world, contributing their knowledge to identify the different characteristics of the above domains. .

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Book 2024f processes. It gives readers an idea about the various challenges and design structure for computing of Industry 4.0. The contents include contributions from experts in Cyber-Physical Systems (CPS), the Internet of Things (IoT), Industrial Internet of Things (IIoT), cloud computing, cognitive compu

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Christopher J. O. Baker,Kei-Hoi Cheung“big data.” Big data and machine interoperability may assist CPS in achieving its goal of intelligent, robust, and self-adaptive systems. Big data. Companies may become industry 4.0 manufacturers by incorporating CPS into their present manufacturing, logistics, and service processes.

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An Architecture of Cyber-Physical System for Industry 4.0,“big data.” Big data and machine interoperability may assist CPS in achieving its goal of intelligent, robust, and self-adaptive systems. Big data. Companies may become industry 4.0 manufacturers by incorporating CPS into their present manufacturing, logistics, and service processes.

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2730-9061 Internet of Things (IIoT), cloud computing, cognitive computing, and artificial intelligence across the world, contributing their knowledge to identify the different characteristics of the above domains. .978-981-99-8120-5978-981-99-8118-2Series ISSN 2730-9061 Series E-ISSN 2730-907X

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Theofilos Mailis,Anni-Yasmin Turhanhancing the healthcare experience and ensuring the success of people who use it. The primary focus of this chapter is on ML algorithms in healthcare systems and an insight into how ML has helped to handle skin cancer detection.

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Bernd Wohlkinger,Tassilo Pellegrinillaboration such as perceived benefits, entertainment factor, safety, automation of repetitive tasks anthropomorphism. Also, there are barriers such as potential risk, cost factor, contextual barrier, knowledge barrier, passing the uncanny value point.