Cloud Computing and IoT Strategies for Industry 5.0 Innovation PDF
Cloud Computing and IoT Strategies for Industry 5.0 Innovation is a comprehensive study centred on Industry 5.0 principles, highlighting the integration of human-centric, sustainable, and resilient intelligent digital technologies. The book presents a comprehensive exploration of how cloud computing, the Internet of Things (IoT), edge intelligence, and advanced data analytics are transforming the ...

Editors: Pawan Kumar Goel - Cloud Computing and IoT Strategies for Industry 5.0 Innovation

Cloud Computing and IoT Strategies for Industry 5.0 Innovation

Editors: Pawan Kumar Goel, Vishal Jain, Hari Mohan Pandey

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Veröffentlicht von
StreetLib eBooks

Sprache
Englisch
Format
epub
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Beschreibung

Cloud Computing and IoT Strategies for Industry 5.0 Innovation is a comprehensive study centred on Industry 5.0 principles, highlighting the integration of human-centric, sustainable, and resilient intelligent digital technologies. The book presents a comprehensive exploration of how cloud computing, the Internet of Things (IoT), edge intelligence, and advanced data analytics are transforming the modern industrial ecosystem With ten structured chapters, the book progresses from foundational concepts such as Industry 5.0 evolution, cloud service models, and IoT architectures to advanced topics including secure cloud infrastructures, cryptographic frameworks, and machine-learning-based threat detection. It further explores the synergy between edge and cloud computing for real-time processing, cloud-driven data analytics, and integration frameworks across sectors such as manufacturing, agriculture, and smart cities. The concluding chapters address critical issues of cybersecurity, data privacy, and emerging trends shaping the future of cloud–IoT convergence. Key Features: Comprehensive coverage of cloud computing, IoT, edge intelligence, and Industry 5.0 technologies Detailed exploration of secure cloud infrastructures, cryptography, and cybersecurity frameworks Integrated perspectives on AI, blockchain, and edge analytics for intelligent industrial applications Practical frameworks and real-world case studies across manufacturing, smart cities, and agriculture Focuses on human–machine collaboration, resilience, and sustainable industrial innovation Discussions of emerging trends, privacy challenges, and future research directions Readership: Researchers, academics, students, and professionals in computer science, cloud computing, IoT, and Industry 5.0

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