AI and Robotics in Disaster Studies
eBook - ePub

AI and Robotics in Disaster Studies

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

AI and Robotics in Disaster Studies

Book details
Table of contents
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About This Book

This book promotes a meaningful and appropriate dialogue and cross-disciplinary partnerships on Artificial Intelligence (AI) in governance and disaster management. The frequency and the cost of losses and damages due to disasters are rising every year. From wildfires to tsunamis, drought to hurricanes, floods to landslides combined with chemical, nuclear and biological disasters of epidemic proportions has increased human vulnerability and ecosystem sustainability. Life is not as it used to be and governance to manage disasters cannot be a business as usual. The quantum and proportion of responsibilities with the emergency services has increased many times to strain them beyond their human capacities. Its time that the struggling disaster management services get supported and facilitated by new technology of combining Artificial Intelligence (AI) and Machine Learning (ML) with Data Analytics Technologies (DAT)to serve people and government in disaster management.
AI and ML have advanced to a state where they could be utilized for many operations in disaster risk reduction. Even though many disasters cannot be prevented and a number of them are blind natural disasters yet through an appropriate application of AI and ML quick predictions, vulnerability identification and classification of relief and rescue operations could be achieved.

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Yes, you can access AI and Robotics in Disaster Studies by T. V. Vijay Kumar, Keshav Sud, T. V. Vijay Kumar,Keshav Sud in PDF and/or ePUB format, as well as other popular books in Business & Management. We have over one million books available in our catalogue for you to explore.

Information

Year
2020
ISBN
9789811542916
Subtopic
Management

Table of contents

  1. Cover
  2. Front Matter
  3. 1. Introduction: Enhancing Capacity to Manage Disasters
  4. Part I. New Technologies in Disaster Management
  5. Part II. Government, Governance and Law
  6. Part III. Building Community Resilience Through AI
  7. Part IV. Extraneous Influences and Ethics in AI Applications