AI and IoT for proactive disaster management:
AI and IoT for proactive disaster management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters....
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| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2024.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | AI and IoT for proactive disaster management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies. |
| Physical Description: | 18 PDFs (299 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369338971 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
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| 246 | 3 | |a Artificial intelligence and Internet of things for proactive disaster management | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) |b IGI Global |c 2024. | |
| 300 | |a 18 PDFs (299 Seiten) | ||
| 336 | |a text |2 rdacontent | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. AI and IoT integration for natural disaster management: a comprehensive review and future directions -- Chapter 2. Demystifying the applications of artificial intelligence in disaster management: a review -- Chapter 3. AI and IoT in flood forecasting and mitigation: a comprehensive approach -- Chapter 4. An innovative investigation on predicting forest fire using machine learning approach -- Chapter 5. Artificial intelligence models to prevent forest fires -- Chapter 6. Explicit monitoring and prediction of hailstorms with xgboost classifier for sustainability -- Chapter 7. Reviewing the potential of geoai for post-earthquake land prospection: lessons from the el haouz earthquake -- Chapter 8. Scholarly communication theories for building effective disaster-resilient infrastructure: a study -- Chapter 9. Strategic deployment of AI and drones enhancing disaster management in natural disasters -- Chapter 10. Blockchain technology with the internet of drones (IOD) to address privacy and security issues in disaster management. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a AI and IoT for proactive disaster management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 05/17/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Emergency management |x Data processing. | |
| 650 | 0 | |a Emergency management |x Technological innovations. | |
| 650 | 0 | |a Internet of things. | |
| 653 | |a AI and drone-based natural disaster management. | ||
| 653 | |a AI-optimized flood forecasting and mitigation. | ||
| 653 | |a AIoT in disaster management. | ||
| 653 | |a AIoT in emergency planning. | ||
| 653 | |a Blockchain-enabled model applications. | ||
| 653 | |a Connected vehicles and natural disaster management. | ||
| 653 | |a Impact of natural disasters on intelligent systems. | ||
| 653 | |a Internet of things (IoT) and natural disaster management. | ||
| 653 | |a Machine learning for earthquakes discrimination. | ||
| 653 | |a Machine learning for quarry blasts discrimination. | ||
| 653 | |a Neural network models. | ||
| 653 | |a River flood prevention with an integrated AIoT model. | ||
| 653 | |a SDN-based intelligent networks for disaster management. | ||
| 653 | |a Security and privacy challenges of participatory sensing. | ||
| 653 | |a Unmanned aerial vehicle (UAV) systems. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Boulouard, Zakaria |e editor. | |
| 700 | 1 | |a Iwendi, Celestine |e editor. | |
| 700 | 1 | |a Krichen, Moez |e editor. | |
| 700 | 1 | |a Ouaissa, Mariya |e editor. | |
| 700 | 1 | |a Ouaissa, Mariyam |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| 912 | |a ZDB-98-IGB | ||
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| adam_text | |
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| author2 | Boulouard, Zakaria Iwendi, Celestine Krichen, Moez Ouaissa, Mariya Ouaissa, Mariyam |
| author2_role | edt edt edt edt edt |
| author2_variant | z b zb c i ci m k mk m o mo m o mo |
| author_facet | Boulouard, Zakaria Iwendi, Celestine Krichen, Moez Ouaissa, Mariya Ouaissa, Mariyam |
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| contents | Chapter 1. AI and IoT integration for natural disaster management: a comprehensive review and future directions -- Chapter 2. Demystifying the applications of artificial intelligence in disaster management: a review -- Chapter 3. AI and IoT in flood forecasting and mitigation: a comprehensive approach -- Chapter 4. An innovative investigation on predicting forest fire using machine learning approach -- Chapter 5. Artificial intelligence models to prevent forest fires -- Chapter 6. Explicit monitoring and prediction of hailstorms with xgboost classifier for sustainability -- Chapter 7. Reviewing the potential of geoai for post-earthquake land prospection: lessons from the el haouz earthquake -- Chapter 8. Scholarly communication theories for building effective disaster-resilient infrastructure: a study -- Chapter 9. Strategic deployment of AI and drones enhancing disaster management in natural disasters -- Chapter 10. Blockchain technology with the internet of drones (IOD) to address privacy and security issues in disaster management. |
| ctrlnum | (CaBNVSL)slc00005950 (OCoLC)1434590865 |
| dewey-full | 363.348 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 363 - Other social problems and services |
| dewey-raw | 363.348 |
| dewey-search | 363.348 |
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| format | Electronic eBook |
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| id | ZDB-98-IGB-00337737 |
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| indexdate | 2025-03-18T14:30:38Z |
| institution | BVB |
| isbn | 9798369338971 |
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| spelling | AI and IoT for proactive disaster management Mariyam Ouaissa, Mariya Ouaissa, Zakaria Boulouard, Celestine Iwendi, Moez Krichen. Artificial intelligence and Internet of things for proactive disaster management Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2024. 18 PDFs (299 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. AI and IoT integration for natural disaster management: a comprehensive review and future directions -- Chapter 2. Demystifying the applications of artificial intelligence in disaster management: a review -- Chapter 3. AI and IoT in flood forecasting and mitigation: a comprehensive approach -- Chapter 4. An innovative investigation on predicting forest fire using machine learning approach -- Chapter 5. Artificial intelligence models to prevent forest fires -- Chapter 6. Explicit monitoring and prediction of hailstorms with xgboost classifier for sustainability -- Chapter 7. Reviewing the potential of geoai for post-earthquake land prospection: lessons from the el haouz earthquake -- Chapter 8. Scholarly communication theories for building effective disaster-resilient infrastructure: a study -- Chapter 9. Strategic deployment of AI and drones enhancing disaster management in natural disasters -- Chapter 10. Blockchain technology with the internet of drones (IOD) to address privacy and security issues in disaster management. Restricted to subscribers or individual electronic text purchasers. AI and IoT for proactive disaster management fills that gap by examining how AI and IoT can revolutionize disaster preparedness, response, and recovery. It offers a deep dive into AI frameworks, IoT infrastructures, and the synergy of these technologies in predicting and managing natural disasters. By showcasing cutting-edge research and practical applications, this book equips readers with the knowledge and tools to harness AI and IoT for more efficient and effective disaster management strategies. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 05/17/2024). Artificial intelligence. Emergency management Data processing. Emergency management Technological innovations. Internet of things. AI and drone-based natural disaster management. AI-optimized flood forecasting and mitigation. AIoT in disaster management. AIoT in emergency planning. Blockchain-enabled model applications. Connected vehicles and natural disaster management. Impact of natural disasters on intelligent systems. Internet of things (IoT) and natural disaster management. Machine learning for earthquakes discrimination. Machine learning for quarry blasts discrimination. Neural network models. River flood prevention with an integrated AIoT model. SDN-based intelligent networks for disaster management. Security and privacy challenges of participatory sensing. Unmanned aerial vehicle (UAV) systems. Electronic books. Boulouard, Zakaria editor. Iwendi, Celestine editor. Krichen, Moez editor. Ouaissa, Mariya editor. Ouaissa, Mariyam editor. IGI Global, publisher. Print version: 9798369338964 |
| spellingShingle | AI and IoT for proactive disaster management Chapter 1. AI and IoT integration for natural disaster management: a comprehensive review and future directions -- Chapter 2. Demystifying the applications of artificial intelligence in disaster management: a review -- Chapter 3. AI and IoT in flood forecasting and mitigation: a comprehensive approach -- Chapter 4. An innovative investigation on predicting forest fire using machine learning approach -- Chapter 5. Artificial intelligence models to prevent forest fires -- Chapter 6. Explicit monitoring and prediction of hailstorms with xgboost classifier for sustainability -- Chapter 7. Reviewing the potential of geoai for post-earthquake land prospection: lessons from the el haouz earthquake -- Chapter 8. Scholarly communication theories for building effective disaster-resilient infrastructure: a study -- Chapter 9. Strategic deployment of AI and drones enhancing disaster management in natural disasters -- Chapter 10. Blockchain technology with the internet of drones (IOD) to address privacy and security issues in disaster management. Artificial intelligence. Emergency management Data processing. Emergency management Technological innovations. Internet of things. |
| title | AI and IoT for proactive disaster management |
| title_alt | Artificial intelligence and Internet of things for proactive disaster management |
| title_auth | AI and IoT for proactive disaster management |
| title_exact_search | AI and IoT for proactive disaster management |
| title_full | AI and IoT for proactive disaster management Mariyam Ouaissa, Mariya Ouaissa, Zakaria Boulouard, Celestine Iwendi, Moez Krichen. |
| title_fullStr | AI and IoT for proactive disaster management Mariyam Ouaissa, Mariya Ouaissa, Zakaria Boulouard, Celestine Iwendi, Moez Krichen. |
| title_full_unstemmed | AI and IoT for proactive disaster management Mariyam Ouaissa, Mariya Ouaissa, Zakaria Boulouard, Celestine Iwendi, Moez Krichen. |
| title_short | AI and IoT for proactive disaster management |
| title_sort | ai and iot for proactive disaster management |
| topic | Artificial intelligence. Emergency management Data processing. Emergency management Technological innovations. Internet of things. |
| topic_facet | Artificial intelligence. Emergency management Data processing. Emergency management Technological innovations. Internet of things. Electronic books. |
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