Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 by Bali, Vikram; Bhatnagar, Vishal; Aggarwal, Deepti;

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A termék adatai:

Kiadás sorszáma 1
Kiadó CRC Press
Megjelenés dátuma 2021. december 24.

ISBN 9780367705152
Kötéstípus Keménykötés
Terjedelem418 oldal
Méret 234x156 mm
Súly 707 g
Nyelv angol
Illusztrációk 153 Illustrations, black & white; 33 Halftones, black & white; 120 Line drawings, black & white; 49 Tables, black & white

Kategóriák

Rövid leírás:

This book addresses topics related to Internet of Things (IoT), Machine Learning, Cyber-Physical Systems, Cloud Computing and Autonomous Vehicles for Industry 4.0. It investigates challenges across multiple sectors, industries and considers Industry 4.0 for operations research and supply chain management.

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Hosszú leírás:

This book addresses topics related to the Internet of Things (IoT), machine learning, cyber-physical systems, cloud computing, and autonomous vehicles in Industry 4.0. It investigates challenges across multiple sectors and industries and considers Industry 4.0 for operations research and supply chain management.

Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 encourages readers to develop novel theories and enrich their knowledge to foster sustainability.　It examines the recent research trends and the future of cyber-physical systems, IoT, and autonomous systems as they relate to Industry 4.0.

This book is intended for undergraduates, postgraduates, academics, researchers, and industry individuals to explore new ideas, techniques, and tools related to Industry 4.0.

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Tartalomjegyzék:

1. Cyber Systems And Security In Industry 4.0. 2. A Demand Response Program For Social Welfare Maximization In The Context Of Indian Smart Grid. 3. Cloud Computing Security Framework Based On Shared Responsibility Models. 4. Performance Analysis Of Hypervisor And Container-Based Migration Technique For Cloud Virtualization. 5. Segmentation of Fine-Grained Iron Ore Using Deep Learning and the Internet of Things Segmentation of Fine-Grained Iron Ore. 6. Amalgamation Of Blockchain Technology And Cloud Computing For A Secure And More Adaptable Cloud. 7. Cloud, Edge And Fog Computing: Trends And Case Studies. 8. Progression In Cyber Security Concerns For Learning Management System: Analyzing The Role Of Participants. 9. A Security Model For Cloud Computing Based E-Governance Applications. 10. Automatic Time And Motion Study Using Deep Learning. 11. Integrating IOT for Industry. 12. Impact Of Deep Learning And Machine Learning In Industry 4.0. 13. IOT Applications In Research Domains. 14. Spatio-Temporal Model For Analysis And Classification Of Soil Using IOT. 15. Autonomous Vehicles. 16. A Meta-Learning Approach For Algorithm Selection For Capacitated Vehicle Routing Problem. 17. Early Detection Of Autism Disorder using Predictive Analysis. 18. Computing Technologies For Prognosticating Emanation Of Carbon Using Arima Model. 19. DWT And SVT Based Robust Watermarking Using Differential Evolution With Adaptive Optimization. 20. A Novel Framework Based On Machine Learning Algorithm For Estimation Of Covid-19 Cases. 21. Assessing Pollutant Concentrations Impact On Coronavirus. 22. Simultaneous Mapping And Localization: A Comprehensive Review Of Slam Techniques. 23. A Novel Evolutionary Computation Method For Securing The Data In Wireless Networks.

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