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AI and Robotics in Disaster Studies

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Cover of 'AI and Robotics in Disaster Studies'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction: Enhancing Capacity to Manage Disasters
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    Chapter 2 Artificial Intelligence and Early Warning Systems
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    Chapter 3 Artificial Intelligence in Disaster Management: Rescue Robotics, Aerial Mapping and Information Sourcing
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    Chapter 4 Optimal Visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Experiments
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    Chapter 5 Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview
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    Chapter 6 ‘Internet of Things’ Applications in Disaster Management
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    Chapter 7 Samvad: Reaching Out Through Radio and Wireless Network
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    Chapter 8 Usages of AI Technologies in Nepal’s Disaster Management
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    Chapter 9 Enhancing Accountability and Triadic Collaboration in Disaster Governance of Sri Lanka
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    Chapter 10 Artificial Intelligence and the Legal Response Paradigms in Disaster Management
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    Chapter 11 Artificial Intelligence and Disaster Management in Sri Lanka: Problems and Prospects
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    Chapter 12 Applications of Artificial Intelligence in Reconstruction Governance Lessons from Nepal Earthquakes
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    Chapter 13 ICT Infrastructure of Disaster Management in India
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    Chapter 14 Can Community Plans Really Talk? Integrating and Strengthening Communications Through Artificial Intelligence
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    Chapter 15 The Challenge of Resilience in an Age of Artificial Intelligence
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    Chapter 16 AI in an Urban Village in Delhi
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    Chapter 17 Prevent AI from Influences: A Challenge for Lazy, Profligate Governments
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    Chapter 18 The Final Alert on Ethics in AI Based Technology
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Title
AI and Robotics in Disaster Studies
Published by
Springer Singapore, November 2020
DOI 10.1007/978-981-15-4291-6
ISBNs
978-9-81-154290-9, 978-9-81-154291-6
Editors

Kumar, T. V. Vijay, Sud, Keshav

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