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DOI: 10.2174/97988988129421250101 eISBN: 979-8-89881-294-2, 2025 ISBN: 979-8-89881-295-9
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For Books Shilpa Gupta, Ritika Sharma, Gokana Mohana Rani , " AI-Driven Technologies for Sustainable Engineering ", Bentham Science Publishers (2025). https://doi.org/10.2174/97988988129421250101
Print ISBN979-8-89881-295-9
Online ISBN979-8-89881-294-2
Page: i-i (1) Author: Shilpa Gupta, Ritika Sharma and Gokana Mohana Rani DOI: 10.2174/9798898812942125010001
Page: ii-iii (2) Author: DOI: 10.2174/9798898812942125010002
Page: 1-26 (26) Author: Rajni Sharma*, Love Singla and Gulab Singh DOI: 10.2174/9798898812942125010003 PDF Price: $15
Page: 27-39 (13) Author: RamaKoteswaraRao Alla*, Kandipati Rajani and Poka Venkata Sai Jayanth DOI: 10.2174/9798898812942125010004 PDF Price: $15
Page: 40-52 (13) Author: Ketanpreet Kaur, Nripinder Kaur and Love Singla* DOI: 10.2174/9798898812942125010005 PDF Price: $15
Page: 53-74 (22) Author: Bimal Raj Dutta* DOI: 10.2174/9798898812942125010006 PDF Price: $15
Page: 75-93 (19) Author: Shifa Shah, Madhu Bala*, Aashima, Anjum Rouf and Tabassum Rahim DOI: 10.2174/9798898812942125010007 PDF Price: $15
Page: 94-108 (15) Author: Routhu Shanmukh*, Rama Devi Gude, G. Madhavi and Routhu Daswanta Kumar DOI: 10.2174/9798898812942125010008 PDF Price: $15
Page: 109-119 (11) Author: Love Singla* and Sheetal DOI: 10.2174/9798898812942125010009 PDF Price: $15
Page: 120-141 (22) Author: Sunil Kumar* and Harbinder Singh DOI: 10.2174/9798898812942125010010 PDF Price: $15
Page: 142-155 (14) Author: Ranjit Kumar Bindal*, Vaibhav and Vaibhav JaDon DOI: 10.2174/9798898812942125010011 PDF Price: $15
Page: 156-168 (13) Author: Routhu Shanmukh*, Cherukuri Gunalakshmi, G. Madhavi, P.S. G. Aruna Sri, Adepu Sree Lakshmi and Routhu Daswanta Kumar DOI: 10.2174/9798898812942125010012 PDF Price: $15
Page: 169-171 (3) Author: Shilpa Gupta, Ritika Sharma and Gokana Mohana Rani DOI: 10.2174/9798898812942125010013
Learn how artificial intelligence is reshaping sustainable development across engineering domains with AI-Driven Technologies for Sustainable Engineering. The book demonstrates how AI-infused solutions can strengthen resilience, enhance efficiency, and support global sustainability goals. Spanning topics ranging from IoT, healthcare, water systems, smart cities, to nanotechnology, education, and renewable energy, each chapter presents in-depth discussions supported by real-world case studies, illustrating how intelligent systems from automation to predictive analytics are reducing environmental impact and enabling responsible innovation. Challenging the perception that technology contributes primarily to degradation, this book highlights how data-driven intelligence can instead reverse harmful trends and serve as a catalyst for sustainable transformation. Key Features Covers diverse AI applications across engineering fields including renewable energy, healthcare, education, transportation, and smart infrastructure. Aligns AI-enabled solutions with the United Nations Sustainable Development Goals (SDGs). Bridges research and real-world practice through detailed case studies and applied examples. Presents insights from leading experts, offering a multidisciplinary understanding of sustainable engineering.
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