Harnessing AI and digital twin technologies in businesses /

"This book highlights the revolutionary potential of combining AI with digital twin technology"--

Bibliographic Details
Other Authors: Ponnusamy, Sivaram, 1981- (Editor), Assaf, Mansour H., 1964- (Editor), Antari, Jilali (Editor), Singh, Satyanand, 1972- (Editor), Kalyanaraman, Swaminathan, 1987- (Editor)
Format: eBook
Language:English
Published: Hershey, PA : Business Science Reference, an imprint of IGI Global, [2024]
Series:Advances in business information systems and analytics (ABISA) book series.
Subjects:
Table of Contents:
  • Title Page
  • Copyright Page
  • Book Series
  • Dedication
  • Editorial Advisory Board
  • Table of Contents
  • Detailed Table of Contents
  • Foreword
  • Preface
  • Acknowledgment
  • Chapter 1: A Case Study of Deep Learning-Based Dog Breed Classification
  • Chapter 2: A Comparative Analysis of Machine Learning Techniques in Creating Virtual Replicas for Healthcare Simulations
  • Chapter 3: AI Applications and Digital Twin Technology Have the Ability to Completely Transform the Future
  • Chapter 4: AI-Empowered Devices and Strategies to Reduce Cost in Business
  • Chapter 5: Blockchain-Empowered Business Realities
  • Chapter 6: Business Security and Ethical Considerations in AI-Driven Digital Twins
  • Chapter 7: Digital Health Records in Paving the Way for Paperless and Green Practices
  • Chapter 8: Digital Twin-Based Crop Yield Prediction in Agriculture
  • Chapter 9: Digital Twins
  • Chapter 10: Digital Twins and AI, the Cosmic Revolution in Space Technology
  • Chapter 11: Digital Twins and Reinforcement Learning for Autonomous Systems in Industry 4.0
  • Chapter 12: Echoes of Tomorrow
  • Chapter 13: Elevating Precision Medicine
  • Chapter 14: Enhancing Electric Vehicle Battery Management With the Integration of IoT and AI
  • Chapter 15: Exploring the Applications and Significance of Digital Twin Technology in Everyday Life
  • Chapter 16: Exploring the Role of Digital Twin in Power System Applications
  • Chapter 17: Harnessing Logistic Industries and Warehouses With Autonomous Carebot for Security and Protection
  • Chapter 18: Innovative Approaches to Simulating Human-Machine Interactions Through Virtual Counterparts
  • Chapter 19: Machine Learning Application for Virtual Replicas (Digital Twins) in Cybersecurity
  • Chapter 20: Machine Learning-Driven Data Fusion in Wireless Sensor Networks With Virtual Replicas
  • Chapter 21: Machine Learning-Driven Virtual Counterparts for Climate Change Modeling
  • Chapter 22: Role of Artificial Intelligence in Business Analytics
  • Chapter 23: Role of Predictive Analytics for Enhanced Decision Making in Business Applications
  • Chapter 24: Security and Optimization in IoT Networks Using AI-Powered Digital Twins
  • Chapter 25: Smart Monitoring and Predictive Maintenance of High Voltage Cables Through Digital Twin Technology
  • Chapter 26: Smart Transportation Systems Machine Learning Application in WSN-Based Digital Twins
  • Chapter 27: Social Media Optimisation for Retailers
  • Chapter 28: Technological Collaboration, Challenges, and Unrestricted Research in the Digital Twin
  • Chapter 29: The AI-Enhanced Transformation
  • Chapter 30: Twinning for Success
  • Chapter 31: Utilizing Digital Twin Technologies to Integrate AI's Unrealized Potential With Digital Public Health Initiatives
  • Chapter 32: Virtual Counterparts in Disaster Response
  • Compilation of References
  • About the Contributors
  • Index