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AI and Robotics in Disaster Studies

Overview of attention for book
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 8: Usages of AI Technologies in Nepal’s Disaster Management
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Citations

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Readers on

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16 Mendeley
Summary Dimensions citations
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Chapter title
Usages of AI Technologies in Nepal’s Disaster Management
Chapter number 8
Book title
AI and Robotics in Disaster Studies
Published by
Palgrave Macmillan, Singapore, January 2020
DOI 10.1007/978-981-15-4291-6_8
Book ISBNs
978-9-81-154290-9, 978-9-81-154291-6
Authors

Gajendra Sharma, Subarna Shakya, Sharma, Gajendra, Shakya, Subarna

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 19%
Professor 3 19%
Student > Doctoral Student 2 13%
Professor > Associate Professor 2 13%
Other 1 6%
Other 2 13%
Unknown 3 19%
Readers by discipline Count As %
Business, Management and Accounting 4 25%
Computer Science 4 25%
Social Sciences 2 13%
Unknown 6 38%

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