Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 (eBook, ePUB)
Redaktion: Bali, Vikram; Diván, Mario José; Bali, Shivani; Aggarwal, Deepti; Bhatnagar, Vishal
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Cyber-Physical, IoT, and Autonomous Systems in Industry 4.0 (eBook, ePUB)
Redaktion: Bali, Vikram; Diván, Mario José; Bali, Shivani; Aggarwal, Deepti; Bhatnagar, Vishal
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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…mehr
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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.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.
- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 418
- Erscheinungstermin: 23. Dezember 2021
- Englisch
- ISBN-13: 9781000469462
- Artikelnr.: 62878924
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 418
- Erscheinungstermin: 23. Dezember 2021
- Englisch
- ISBN-13: 9781000469462
- Artikelnr.: 62878924
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
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.
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.