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AI and green technology applications...
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IGI Global.
AI and green technology applications in society
Record Type:
Electronic resources : Monograph/item
Title/Author:
AI and green technology applications in societyRajeev Kumar, Noor Inayah Binti Ya'akub, Tadiwa Elisha Nyamasvisva, Rajesh Kumar Tiwari, editors.
remainder title:
Artificial intelligence and green technology applications in society
other author:
Tiwari, Rajesh Kumar.
Published:
Hershey, Pennsylvania :IGI Global,2025.
Description:
1 online resource (xxii, 431 p.) :ill.
Subject:
Artificial intelligenceEnvironmental aspects.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-9879-1
ISBN:
9798369398814$q(ebook)
AI and green technology applications in society
AI and green technology applications in society
[electronic resource] /Artificial intelligence and green technology applications in societyRajeev Kumar, Noor Inayah Binti Ya'akub, Tadiwa Elisha Nyamasvisva, Rajesh Kumar Tiwari, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxii, 431 p.) :ill. - Advances in environmental engineering and green technologies (AEEGT) book series. - Advances in environmental engineering and green technologies (AEEGT) book series..
Includes bibliographical references and index.
Preface -- Chapter 1. Exploring Public Perspectives on Climate Change With AI Analysis -- Chapter 2. Eco-Intelligence: AI's Contribution to a Sustainable World -- Chapter 3. GreenTech Revolution: Navigating Challenges and Seizing Opportunities -- Chapter 4. Bridging the Gap: Realizing GreenTech Potential -- Chapter 5. A Novel Framework for Smart Agriculture: Integrating Deep Learning and Blockchain for Precision Farming -- Chapter 6. Deep Learning and Blockchain Application in Smart Agriculture and Farming -- Chapter 7. Deep Learning and Blockchain Application in Smart Agriculture and Farming -- Chapter 8. Convergence of Advanced Technologies for Sustainable Development and Smart Cities -- Chapter 9. Machine Learning Concepts in Education and Skill Development: Cloud Solutions for Smart Cities -- Chapter 10. Synergizing Human and Machine: Innovations in Knowledge Discovery and Management -- Chapter 11. Enhancing Sentiment Analysis ThroughMulti-Channel Convolutional Neural Networks -- Chapter 12. Analysing the Impact of Exogenous Determinants on Booking Cancellations With the GNN -- Chapter 13. Deep Learning Framework for Early Detection of Oral Cancer -- Compilation of References -- About the Contributors -- Index.
AI and Green Technology Applications in Society explores the intersection of AI and sustainable technologies, detailing how AI is driving innovation in environmental conservation and energy efficiency. It further delves into ethicalimplications, challenges, and the future potential of integrating AI with green technologies to promote a sustainable and eco-friendly future. Covering topics such as climate change, precision agriculture, and smart cities, this book is anexcellent resource for AI researchers, policymakers, sustainability professionals, academicians, graduate and postgraduate students, and more.
Mode of access: World Wide Web.
ISBN: 9798369398814$q(ebook)Subjects--Topical Terms:
921961
Artificial intelligence
--Environmental aspects.Subjects--Index Terms:
Artificial Intelligence (AI)Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: HC79.I55 / A33 2025eb
Dewey Class. No.: 303.4833
AI and green technology applications in society
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Rajeev Kumar, Noor Inayah Binti Ya'akub, Tadiwa Elisha Nyamasvisva, Rajesh Kumar Tiwari, editors.
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Advances in environmental engineering and green technologies (AEEGT) book series
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Preface -- Chapter 1. Exploring Public Perspectives on Climate Change With AI Analysis -- Chapter 2. Eco-Intelligence: AI's Contribution to a Sustainable World -- Chapter 3. GreenTech Revolution: Navigating Challenges and Seizing Opportunities -- Chapter 4. Bridging the Gap: Realizing GreenTech Potential -- Chapter 5. A Novel Framework for Smart Agriculture: Integrating Deep Learning and Blockchain for Precision Farming -- Chapter 6. Deep Learning and Blockchain Application in Smart Agriculture and Farming -- Chapter 7. Deep Learning and Blockchain Application in Smart Agriculture and Farming -- Chapter 8. Convergence of Advanced Technologies for Sustainable Development and Smart Cities -- Chapter 9. Machine Learning Concepts in Education and Skill Development: Cloud Solutions for Smart Cities -- Chapter 10. Synergizing Human and Machine: Innovations in Knowledge Discovery and Management -- Chapter 11. Enhancing Sentiment Analysis ThroughMulti-Channel Convolutional Neural Networks -- Chapter 12. Analysing the Impact of Exogenous Determinants on Booking Cancellations With the GNN -- Chapter 13. Deep Learning Framework for Early Detection of Oral Cancer -- Compilation of References -- About the Contributors -- Index.
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AI and Green Technology Applications in Society explores the intersection of AI and sustainable technologies, detailing how AI is driving innovation in environmental conservation and energy efficiency. It further delves into ethicalimplications, challenges, and the future potential of integrating AI with green technologies to promote a sustainable and eco-friendly future. Covering topics such as climate change, precision agriculture, and smart cities, this book is anexcellent resource for AI researchers, policymakers, sustainability professionals, academicians, graduate and postgraduate students, and more.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-9879-1
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EB HC79.I55 A33 2025eb 2025
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-9879-1
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