Rise of Quantum Computing in Industry 6.0 Towards Sustainability
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Rise of Quantum Computing in Industry 6.0 Towards Sustainability
Revolutionizing Smart Disaster Management
Hanafiah, Marlia Mohd; Ouaissa, Mariya; Nag, Anindya; Bhushan, Bharat; Reddy, C Kishor Kumar
Springer International Publishing AG
01/2025
398
Dura
9783031733499
Pré-lançamento - envio 15 a 20 dias após a sua edição
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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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Quantum Computing;Disaster Management;Industry 6.0;Early Warning Systems;Computer Science;Decision support systems;Remote sensing;Satellite imagery
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.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
