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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
Attention for Chapter 2: Artificial Intelligence and Early Warning Systems
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Citations

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Readers on

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36 Mendeley
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Chapter title
Artificial Intelligence and Early Warning Systems
Chapter number 2
Book title
AI and Robotics in Disaster Studies
Published by
Palgrave Macmillan, Singapore, January 2020
DOI 10.1007/978-981-15-4291-6_2
Book ISBNs
978-9-81-154290-9, 978-9-81-154291-6
Authors

Rabindra Lamsal, T. V. Vijay Kumar, Lamsal, Rabindra, Kumar, T. V. Vijay

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 36 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 25%
Professor 4 11%
Student > Bachelor 3 8%
Other 3 8%
Professor > Associate Professor 2 6%
Other 5 14%
Unknown 10 28%
Readers by discipline Count As %
Computer Science 10 28%
Business, Management and Accounting 5 14%
Social Sciences 2 6%
Engineering 2 6%
Unknown 17 47%