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Smart Cyber-Physical Systems: Innovations and Real-World Implications [Hardcover]

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  • Category: Books (Technology & Engineering)
  • ISBN-10:  1032892935
  • ISBN-10:  1032892935
  • ISBN-13:  9781032892931
  • ISBN-13:  9781032892931
  • Publisher:  CRC Press
  • Publisher:  CRC Press
  • Pages:  362
  • Pages:  362
  • Binding:  Hardcover
  • Binding:  Hardcover
  • SKU:  1032892935-11-MPOD
  • SKU:  1032892935-11-MPOD
  • Item ID: 107104789
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Oct 12 to Oct 14
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.

1.?Exploring Advancements in Space Object Detection through Computer Vision. 2.?Smart Cities and The Role of Smart Cyber-Physical Systems Towards Sustainability: Case Studies. 3. Integrating CPS in Digital Payments 5.0: A Study on Security Risks and Evidence-Based Solutions. 4.?AI-Driven Smart Cyber-Physical Systems for Optimizing Supply Chain Route Planning and Logistics. 5.?Integrating Smart Cyber-Physical Systems into Urban Planning: The Future of Smart Cities. 6.?Smart Cyber-Physical Systems in Healthcare: Revolutionizing Modern Medicine in RPM and Health Security. 7.?Smart Transportation and Autonomous System Integration. 8.?Healthcare and Wearables in Smart Cyber-Physical Systems. 9.?Maximizing Investment Potential: A Comparative Study of Nifty 50 and Nifty Midcap 100 Using Advanced Machine Learning based Financial Models. 10.?Integrating Collaborative and Machine Learning to Improve Performance in Autonomous Cyber-Physical System. 11.?Transforming Autonomous Vehicle Technology: AI and Machine Learning Applications in Cyber-Physical Systems. 12.?Real-Time Player Performance Analytics: Leveraging Smart Cyber-Physical Systems and AI in Sports. 13.?Navigating the Risks: Cybersecurity Challenges in Cryptocurrency and Blockchain Solutions. 14.?Smart Grid and Energy Management in Smart Cyber-Physical Systems (SCPS). 15.?Investigating System Vulnerabilities in Digital Environments.? 16.?Adaptive Multimodal Human-Machine Interaction in Cyber-Physical Systems for Enhanced Decision Making.

Ramesh Chandra Poonia completed a Postdoctoral Fellowship from the CyberPhysical Systems Laboratory (CPS Lab), Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), Alesund, Norway. He also completed a PartTime Postdoctoral Fellowship on the International Collaborative Project of a Prediction Model for Pandemic Disease using Machine Learning at Oakland University, USA,l“%

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