Harnessing AI and digital twin technologies in businesses /
"This book highlights the revolutionary potential of combining AI with digital twin technology"--
| Other Authors: | , , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Hershey, PA :
Business Science Reference, an imprint of IGI Global,
[2024]
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| Series: | Advances in business information systems and analytics (ABISA) book series.
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| 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