Digital Twins and ESG
eBook - PDF

Digital Twins and ESG

  1. 439 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Digital Twins and ESG

About this book

Digital Twins and ESG provides essential insight on how integrating cutting-edge Digital Twin technology with ESG practices can transform the understanding of sustainability and propel businesses towards a more transparent, accountable, and responsible future.

Digital Twins and ESG introduces the dynamic world of ESG practices, emphasizing the pivotal role technology plays in shaping and advancing sustainability goals. It introduces readers to the multifaceted world of Digital Twin technology, offering a comprehensive understanding of its historical development and diverse applications across industries. This volume will intricately examine the integration of Digital Twins in ESG metrics and reporting frameworks. Artificial intelligence, machine learning, and blockchain technologies are also discussed as key enablers for achieving ESG goals, providing readers with a glimpse into the potential advancements and breakthroughs that lie ahead. Through detailed analyses and case studies, readers will gain insights into how Digital Twins enhance data collection, monitoring, and reporting, elevating transparency and accountability. Digital Twins and ESG serves as a rallying call, urging businesses to embrace Digital Twins as an integral component of their ESG strategies, ultimately paving the way for a more sustainable and responsible future.

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Yes, you can access Digital Twins and ESG by Surajit Mondal,Adesh Kumar,Mudassir Khan in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Series Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. Preface
  7. Chapter 1 Digital Twins: Driving Innovation Through Virtual Optimization – A Systematic Review
  8. Chapter 2 Core Principles and Applications of Digital Twins
  9. Chapter 3 ESG 2.0: Evolving Foundations and Strategies
  10. Chapter 4 Fundamentals of Digital Twins
  11. Chapter 5 Machine Learning Lending a Hand to ESG: A Case Study on CO2 Emissions
  12. Chapter 6 A Comprehensive Review on Digital Initiatives Fostering Improvements in Solar PV Systems
  13. Chapter 7 The Convergence of AI, ML, and Digital Twins in Shaping the Future of ESG
  14. Chapter 8 A Roadmap for Sustainable Industry: Merging ESG, Digital Twin, and Circular Economy Practices
  15. Chapter 9 Waste Biomass to Bioenergy with Regulatory Framework for a Sustainable Economy
  16. Chapter 10 An Automated System to Identify and Detect the Faults in Bottle Cap Production and Visual Inspection Using Raspberry Pi
  17. Chapter 11 DDoS Detection Using Semi-Supervised Machine Learning Algorithms
  18. Chapter 12 Enhanced Encryption and Digital Signature Scheme Utilizing EC-Based Encryption and Multi-Chaotic Pseudo Random Generation
  19. Chapter 13 Utilization of Waste for Production of Nanomaterials: An Industry 4.0 Approach of Waste to Wealth
  20. Chapter 14 Factors Affecting Sanitation Behavior Among Rural Communities in Low and Middle-Income Countries: A Critical Review
  21. Chapter 15 Assessing the Comparison of Environmental and Social Governance (ESG) Performance of Tourism Companies Worldwide
  22. Chapter 16 Ion Beam Induced PMMA-Based Corrosion-Resistant Hydrophobic Coating on a Metal Substrate
  23. Index
  24. Also of Interest
  25. EULA