AI and Robotics in Disaster Studies (Hardcover, 1st ed. 2020)

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.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	Disaster Research and Management Series on the Global South
Release date:	October 2020
First published:	2020
Editors:	T. V. Vijay Kumar • Keshav Sud
Dimensions:	210 x 148mm (L x W)
Format:	Hardcover
Pages:	263
Edition:	1st ed. 2020
ISBN-13:	978-981-15-4290-9
Categories:	Books > Business & Economics > Business & management > Business negotiation Books > Earth & environment > The environment > Management of land & natural resources Books > Earth & environment > The environment > Applied ecology > General Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems
LSN:	981-15-4290-2
Barcode:	9789811542909

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