Distributed Time-Sensitive Systems

The book provides invaluable insights into cutting-edge advancements across multiple sectors of Society 5.0, where contemporary concepts and interdisciplinary applications empower you to understand and engage with the transformative technologies shaping our future. Distributed Time-Sensitive Systems...

Full description

Saved in:
Bibliographic Details
Other Authors Choudhury, Tanupriya, Singh, Rahul Kuma, Tomar, Ravi, Balamurugan, S., Patni, J. C.
Format Electronic eBook
LanguageEnglish
Published Hoboken, NJ : John Wiley & Sons, Inc.,; Wiley-Scrivener, [2025]
EditionFirst edition.
SeriesIndustry 5.0 transformation applications.
Subjects
Autonomous distributed systems.
Technological innovations.
Systems engineering.
elektronické knihy
electronic books
Online AccessFull text
ISBN9781394197798
9781394197781
9781394197774
9781394197729
Physical Description1 online zdroj

Cover

Table of Contents:
  • Preface
  • Acknowledgement
  • 1 Analytical Survey of AI Data Analysis Techniques 1 Divyansh Singhal, Roohi Sille, Tanupriya Choudhury, Thinagaran Perumal and Ashutosh Sharma
  • 1.1 Introduction
  • 1.2 Survey on Various AI Techniques in Multiple Data Inputs
  • 1.3 Conclusion
  • 2 Heart Rate Prediction Analysis Using ML and DL: A Review of Existing Models and Future Directions 25 Rimjhim Gupta, Roohi Sille and Tanupriya Choudhury
  • 2.1 Introduction
  • 2.2 Literature Review
  • 2.3 Applications of Machine Learning (ML) and Deep Learning (DL) Model
  • 2.4 Conclusions and Future Perspective
  • 3 Implementation of High Speed Adders for Image Blending Applications 43 P. Vanjipriya, K. N. Vijeyakumar, E. Udayakumar and S. Vishnushree
  • 3.1 Introduction
  • 3.2 Area and Delay Analysis of Addition Algorithm
  • 3.3 Design of High Speed Adder
  • 3.4 Results and Discussion
  • 3.5.1 Image Blending
  • 3.6 Conclusion
  • 4 Smart Factories and Energy Efficiency in Industry 4.0 63 S.C. Vetrivel, T.P. Saravanan and R. Maheswari
  • 4.1 Introduction
  • 4.2 Industry 4.0: Concepts and Technologies
  • 4.3 Energy Efficiency in Manufacturing
  • 4.4 Integration of Energy Management Systems in Smart Factories
  • 4.5 Energy Monitoring and Optimization in Smart Factories
  • 4.6 Intelligent Control Systems for Energy Efficiency
  • 4.7 Energy Storage and Renewable Energy Integration
  • 4.8 Smart Grid Integration and Demand Response
  • 4.9 Case Studies and Best Practices
  • 4.10 Challenges and Future Directions
  • 4.11 Conclusion
  • 5 AI in Computer Vision with Emerging Techniques and Their Scope 105 Pawan K. Mishra, Shalini Verma, Jagdish C. Patni and Rajat Dubey
  • 5.1 Brief Introduction of Computer Vision
  • 5.2 A Pictorial Summary of Image Formation
  • 5.3 Sampling and Aliasing
  • 5.4 Feature Detection
  • 5.5 Image Segmentation
  • 5.6 Computational Photography
  • 5.7 Recognition
  • 5.8 Visual Tracking of the Object
  • 5.9 Conclusion
  • 6 Revolutionizing Car Manufacturing the Power of Intelligent Robotic Process Automation 133 Amit K. Nerurkar and G. T. Thampi
  • 6.1 Introduction
  • 6.2 Literature Survey
  • 6.3 Exploratory Analysis
  • 6.4 The Manufacturing Process in India
  • 6.5 Degree of Integration for Using Robotic Process Automation Automotive Sector
  • 6.6 Complexities and Solution to Integrate AI in Current RPA
  • 6.7 What Next in Indian Car Manufacturing?
  • 6.8 Conclusion
  • 7 Industry 5.0 and Artificial Intelligence: A Match Made in Technology Heaven? Unleashing the Potential of Artificial Intelligence in Industry 5.0 153 Bhanu Priya, Vivek Sharma and Rahul Sharma
  • 7.1 Introduction
  • 7.2 Review of Literature
  • 7.3 Research Model of How AI Works in Industry 5.0
  • 7.4 Smart Factories and Manufacturing Processes
  • 7.5 Outcomes of AI in Industry 5.0
  • 7.6 Challenges of Industry 5.0
  • 7.7 Conclusion
  • 8 A VLSI-Based Multi-Level ECG Compression Scheme with RL and VL Encoding 203 P. Balasubramani, S. Swathi Krishna and E. Udayakumar
  • 8.1 Introduction
  • 8.2 Literature Survey
  • 8.3 Proposed System
  • 8.4 Proposed Multi-Level ECG Compression Architecture
  • 8.5 Results and Analysis
  • 8.6 Conclusion
  • 9 Using Reinforcement Learning in Unity Environments for Training AI-Agent 219 Geetika Munjal and Monika Lamba
  • 9.1 Introduction
  • 9.2 Literature Review
  • 9.3 Machine Learning
  • 9.4 Unity
  • 9.5 Reinforcement Learning and Supervised Learning
  • 9.6 Proposed Model
  • 9.7 Markov Decision Process
  • 9.8 Model Based RL
  • 9.9 Experimental Results
  • 9.10 Conclusion
  • 10 A Review of Digital Transformation and Sustainable International Agricultural Businesses in Africa 249 Shadreck Matindike, Stephen Mago, Flora Modiba and Amanda Van den Berg
  • 10.1 Introduction
  • 10.2 Methodology
  • 10.3 Findings
  • 10.4 Recommendations
  • 10.5 Conclusion
  • 11 Developing a Framework for Harnessing Disruptive Emerging Technologies in Health for Society 5.0 in a Developing Context: A Case of Zimbabwe 283 Samuel Musungwini
  • 11.1 Introduction
  • 11.2 Background and Context
  • 11.3 Methodology
  • 11.4 Literature Review
  • 11.5 Empirical Data
  • 11.6 Discussion
  • 11.7 A Framework for Harnessing Disruptive Emerging Technologies in Health for Society 5.0 in a Developing Context
  • 11.8 Conclusions and Recommendations
  • 12 IT Innovation: Driving Digital Transformation 315 Sruthy S.
  • 12.1 Introduction
  • 12.2 The IT Innovation Ecosystem
  • 12.3 Types of IT Innovations
  • 12.4 IT Innovation Frameworks
  • 12.5 Challenges and Risks of IT Innovation
  • 12.6 Case Study: Uber - Disrupting the Transportation Industry with Innovative Technology
  • 12.7 Future Directions of IT Innovation
  • 13 Strategic Convergence of Advanced Technologies in Modern Warfare 341 Ayan Sar, Tanupriya Choudhury, Jung-Sup Um, Rahul Kumar Singh and Ketan Kotecha
  • 13.1 Introduction
  • 13.2 Quantum Computing and Cryptography
  • 13.3 Blockchain Technology in Military Operations
  • 13.4 Case-Studies and Real-World Applications
  • 13.5 Challenges and Risks
  • 13.6 Conclusion
  • References
  • Index.

Similar Items