Artificial intelligence, engineering systems and sustainable development : driving the UN SDGs /

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Bibliographic Details
Edition:First edition.
Imprint:Leeds : Emerald Publishing Limited, 2024.
Description:1 online resource ( xx, 282 pages) : illustrations (some color)
Language:English
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/13461114
Hidden Bibliographic Details
Other authors / contributors:Fowdur, Tulsi Pawan, editor.
Rosunee, Satyadev, editor.
King, Robert T.F. Ah , editor.
Jeetah, Pratima, editor.
Gooroochurn, Mahendra, editor.
ISBN:9781837535422
1837535426
9781837535408
183753540X
9781837535415
1837535418
Notes:Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on March 07, 2024).
Other form:Print version: Fowdur, Tulsi Pawan. Artificial intelligence, engineering systems and sustainable development Leeds : Emerald Publishing Limited, 2024 9781837535415 1837535418
Description
Summary:

Development in any country is impossible if reliable and affordable energy, safe water and sanitation, as well as telecommunication facilities, are not easily accessible. Artificial intelligence and machine learning techniques are now widely used in all branches of engineering to build and optimize systems. The combination of AI and engineering can indeed act as a real catalyst to achieve the UN SDGs.

The volume editors present an analysis of different concepts and case studies in engineering disciplines such as chemical, civil, electrical, telecommunications and mechanical engineering, demonstrating how engineering systems and processes can leverage the power of AI to drive and achieve the UN SDGs. Topics covered include sustainable crop production and consumption, AI based clean water and sanitation monitoring, intelligent transport systems and achieving affordable and clean energy through AI and 5G powered internet of energy.

Such a study is of paramount importance and is a valuable source of information for researchers, engineers, and policy makers to be able to better design and adopt AI enabled techniques in different engineering areas, with a view to catalyze the achievement of the UN SDGs.

Physical Description:1 online resource ( xx, 282 pages) : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:9781837535422
1837535426
9781837535408
183753540X
9781837535415
1837535418