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This book offers a thorough examination of the revolutionary capabilities of quantum computing in the context of Industry 6.0, with a specific emphasis on its use in disaster management. The aim of this proposed book is to clarify how quantum computing, in conjunction with other Industry 6.0 technologies, might profoundly transform our comprehension, preparedness, and response to natural disasters. In the era of Industry 6.0, there is a pressing need for creative solutions to tackle the increasing difficulties caused by natural disasters. This proposed book explores the distinctive characteristics and capacities of quantum computing that make it especially suitable for improving disaster management procedures. The proposed book examines the potential of quantum algorithms to enhance resource allocation, enhance forecasting precision, and facilitate real-time decision-making in the context of rapidly changing crisis scenarios. This proposed book proposes a comprehensive strategy for catastrophe management that is adaptable, robust, and efficient by utilizing quantum computing in conjunction with other advanced technologies.
This proposed book offers a comprehensive analysis of the specific ways in which quantum computing can be utilized in different areas of disaster management. It covers topics such as risk assessment, early warning systems, and infrastructure resilience. By examining real-world case studies and examples, readers can acquire valuable insights into the practical implementation and effectiveness of quantum-powered crisis management solutions, showcasing their potential impact. This proposed book acknowledges the ethical consequences of implementing sophisticated technologies in disaster management. It focuses on important ethical and societal factors, including data privacy, algorithmic bias, and fair access to technology. The aim is to ensure that quantum-powered solutions prioritize ethical principles and cater to the requirements of all communities. This proposed book provides readers with a clear understanding of the potential areas for future study, innovation, and collaboration in the field of quantum-powered crisis management systems.
Dr. C Kishor Kumar Reddy is currently working as Associate Professor, Dept. of Computer Science and Engineering, Stanley College of Engineering and Technology for Women, Hyderabad, India. He has research and teaching experience of more than 10 years. He has published more than 50 research papers in national and international conferences, book chapters, and journals indexed by Scopus and others. He is an author for 2 textbooks and 7 co-edited books.
Anindya Nag is Member of the Institute of Electrical and Electronics Engineers (IEEE) and presently holds the position of Lecturer at the Department of Computer Science and Engineering at Northern University of Business and Technology Khulna in Khulna, Bangladesh. His research focuses on wireless resource management in 6G and future generations, health care, the industrial internet of things (IIoT), medical internet of things (MIoT); natural language processing (NLP); machine learning; deep learning; artificial intelligence (AI); blockchain; cloud computing; and networking systems. He serves as Reviewer for various reputable journals and international conferences. He has written and collaborated on approximately 35 articles, which include peer-reviewed journals and conference papers published by IEEE/ACM.
Dr. Mariya Ouaissa is currently Professor in cybersecurity and networks at Cadi Ayyad University and Practitioner with industry and academic experience. Dr. Ouaissa has made contributions in the fields of information security and privacy, internet of things security, and wireless and constrained networks security. Her main research topics are IoT, M2M, D2D, WSN, cellular networks, and vehicular networks. She has published over 40 papers (book chapters, international journals, and conferences/workshops), 12 edited books, and 8 special issue as Guest Editor.
Dr. Bharat Bhushan is Assistant Professor of the Department of Computer Science and Engineering (CSE) at School of Engineering and Technology, Sharda University, Greater Noida, India. For the three consecutive years (2021 to 2023), Stanford University (USA) listed Dr. Bharat Bhushan in the top 2% scientists list. He has published more than 150 research papers in various renowned international conferences and SCI indexed journals. He has contributed with more than 50 book chapters in various books and has edited 30 books from the most famed publishers like Elsevier, Springer, Wiley, IOP Press, IGI Global, and CRC Press. He is Series Editor of 2 prestigious Scopus indexed book series named Computational Methods for Industrial Applications (CMIA) and Future Generation Information System (FGIS) published by CRC Press, Taylor and Francis, USA.
Dr. Marlia Mohd Hanafiah is Professor and Head, Centre for Tropical Climate Change System, Institute of Climate Change, the National University of Malaysia, Malaysia. Her areas of research expertise are life cycle impact assessment (LCA) and environmental foot printing of green materials and energy, environmental engineering, wastewater treatment and water management, green technology and sustainability. She has a total academic teaching experience of 15+ years with more than 170 publications in reputed journals and online book chapter contributions (indexed by: SCI, SCIE, SSCI, Scopus, DBLP). She received research grant and consultation (as Project Leader and Team Member) of more than RM 7 million.
Chapter 1. Implementing Advanced Technologies for Disaster Management in the Age of Industry 6.0 Strategies and Best Practices Using Quantum Computing.-Chapter 2. Disaster Management in the Era of Industry 6.0: Leveraging Quantum Computing for Enhanced Resilience and Sustainability.- Chapter 3. Quantum Computing and AI: Synergizing for Sustainable Disaster Management in Industry 6.0.- Chapter 4. Navigating the Intersection of Industry 6.0, Quantum Computing, and Disaster Management: Consumer Insights and Technological Impact.- Chapter 5. Quantum-Powered Industry 6.0 Innovations for Enhanced Catastrophe Management.- Chapter 6. Leveraging Quantum Computing for Enhanced Decision Support in Disaster Management.- Chapter 7. Impact of Quantum Computing on health Informatics for Disaster Preparedeness.- Chapter 8. Quantum-based predictive modelling for extreme weather events.- Chapter 9. Utilizing Quantum Computing for Enhanced Natural Disaster Prediction and Mitigation Strategies.- Chapter 10. Advancing Disaster Management in Industry 6.0: The Role of DNA Sequencing Sensors and Quantum Computing in Hyperspectral Image Analysis.- Chapter 11. An Empirical Study into Quantum Machine Learning for Precise and Effective Weather Forecasting.- Chapter 12. Quantum-Enhanced Strategies for Optimizing Disaster Response: A Machine Learning Approach.- Chapter 13. Quantum Computing based Climate Change Mitigation for Disaster Management in Industry 6.0.- Chapter 14. Cyber-Physical Systems Security and Quantum Computing Applications in Disaster Recovery for Industry 6.0.- Chapter 15. Quantum LSTM-Based Deep Learning and Hybrid Hydrodynamic Modeling of Mahanadi River Network.- Chapter 16. The Intersection of Quantum Computing and Disaster Management.
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