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Achieving sustainability with AI tec...

Gupta, Swati.

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Achieving sustainability with AI technologies

Record Type:	Electronic resources : Monograph/item
Title/Author:	Achieving sustainability with AI technologies/ Vishal Jain, Murali Raman, Akshat Agrawal, Meenu Hans, Swati Gupta, editors.
remainder title:	Achieving sustainability with artificial intelligence technologies
other author:	Gupta, Swati.
Published:	Hershey, Pennsylvania :IGI Global, : 2025.,
Description:	1 online resource (xxiv, 468 p.) :ill.
[NT 15003449]:	Preface -- Chapter 1. Achieving Sustainability With AI Technologies: Developing Monitoring/Evaluation Tools for AI Applications in STREAM-Related Studies -- Chapter 2. AI-Powered Sustainability: Transforming Finance Sector for a Better Tomorrow -- Chapter 3. Artificial Intelligence (AI)-Infused Agricultural Transformation for Sustainable Harvest -- Chapter 4. Breast Cancer Detection: Causes, Challenges, and Computer-Aided Intelligent Techniques -- Chapter 5. Data Symphony: The Role of Big Data and AI in Sustainability -- Chapter 6. Detailed Analysis of Climate Change and Its Mitigation via Technology -- Chapter 7. Development of Framework to Promote Sustainable Living Through Resource Conservation: CaseExemplars on IoT and Emerging Technologies -- Chapter 8. From Data to Sustainability: AI Case Studies in Shaping Sustainable Landscapes -- Chapter 9. Building Climate Resilience in the Caribbean: Solutions With Financial Inclusion and Climate-Smart Agriculture -- Chapter 10. Impact of AI on the Travel, Tourism, and Hospitality Sectors -- Chapter 11. Impact of Smart Wearables on the Behavior and Attitude Among Students of Engineering and Arts Faculty: A Comparative Study -- Chapter 12. Internet of Climate Change Things (IoCCT) for Sustainable Agricultural Production -- Chapter 13. Machine Learning Approach to Ensure Rice Nutrition Through Early Diagnosis of Rice Diseases -- Chapter 14. Role of Artificial Intelligence in Sustainable Development -- Chapter 15. Role of Sustainable Strategies Using Artifical Inteligence in Brain Tumour Detection and Treatment -- Chapter 16. Urban Flood Susceptibility in Khardah Municipality Using Machine Learning Technique: An Approach Towards Sustainable Green -- Compilation of References -- About the Contributors -- Index.
Subject:	Sustainable engineering - Data processing. -
Online resource:	https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3410-2
ISBN:	9798369334119

Achieving sustainability with AI technologies
Achieving sustainability with AI technologies[electronic resource] /Achieving sustainability with artificial intelligence technologiesVishal Jain, Murali Raman, Akshat Agrawal, Meenu Hans, Swati Gupta, editors. - Hershey, Pennsylvania :IGI Global,2025. - 1 online resource (xxiv, 468 p.) :ill.

Includes bibliographical references and index.

Preface -- Chapter 1. Achieving Sustainability With AI Technologies: Developing Monitoring/Evaluation Tools for AI Applications in STREAM-Related Studies -- Chapter 2. AI-Powered Sustainability: Transforming Finance Sector for a Better Tomorrow -- Chapter 3. Artificial Intelligence (AI)-Infused Agricultural Transformation for Sustainable Harvest -- Chapter 4. Breast Cancer Detection: Causes, Challenges, and Computer-Aided Intelligent Techniques -- Chapter 5. Data Symphony: The Role of Big Data and AI in Sustainability -- Chapter 6. Detailed Analysis of Climate Change and Its Mitigation via Technology -- Chapter 7. Development of Framework to Promote Sustainable Living Through Resource Conservation: CaseExemplars on IoT and Emerging Technologies -- Chapter 8. From Data to Sustainability: AI Case Studies in Shaping Sustainable Landscapes -- Chapter 9. Building Climate Resilience in the Caribbean: Solutions With Financial Inclusion and Climate-Smart Agriculture -- Chapter 10. Impact of AI on the Travel, Tourism, and Hospitality Sectors -- Chapter 11. Impact of Smart Wearables on the Behavior and Attitude Among Students of Engineering and Arts Faculty: A Comparative Study -- Chapter 12. Internet of Climate Change Things (IoCCT) for Sustainable Agricultural Production -- Chapter 13. Machine Learning Approach to Ensure Rice Nutrition Through Early Diagnosis of Rice Diseases -- Chapter 14. Role of Artificial Intelligence in Sustainable Development -- Chapter 15. Role of Sustainable Strategies Using Artifical Inteligence in Brain Tumour Detection and Treatment -- Chapter 16. Urban Flood Susceptibility in Khardah Municipality Using Machine Learning Technique: An Approach Towards Sustainable Green -- Compilation of References -- About the Contributors -- Index.

Achieving Sustainability with AI Technologies stands as the beacon of hope in this environmental conundrum. Edited with the intent of delivering a convergence strategy, this book comprehensively explores, transforms, and develops technological systems tailored to emerging technologies in society. Targeted at academic scholars, the book encapsulates a groundbreaking approach to the energy crisis by unraveling the potential of Green Computing. It serves as a pivotal guide, offering insights into sustainable cloud computing, harnessing artificial intelligence and machine learning for sustainability, navigating sustainable wireless systems and networks, and pioneering Green IoT and Edge-AI. Each chapter provides a profound exploration of solutions that bridge the gap between technological advancements and sustainable practices.

Mode of access: World Wide Web.

ISBN: 9798369334119Subjects--Topical Terms:

3521696
Sustainable engineering
--Data processing.Subjects--Index Terms:

5G Networks.Index Terms--Genre/Form:

542853
Electronic books.

LC Class. No.: TA163 / .A34 2025eb

Dewey Class. No.: 628

Achieving sustainability with AI technologies
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246 3 $a Achieving sustainability with artificial intelligence technologies
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300 $a 1 online resource (xxiv, 468 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a Preface -- Chapter 1. Achieving Sustainability With AI Technologies: Developing Monitoring/Evaluation Tools for AI Applications in STREAM-Related Studies -- Chapter 2. AI-Powered Sustainability: Transforming Finance Sector for a Better Tomorrow -- Chapter 3. Artificial Intelligence (AI)-Infused Agricultural Transformation for Sustainable Harvest -- Chapter 4. Breast Cancer Detection: Causes, Challenges, and Computer-Aided Intelligent Techniques -- Chapter 5. Data Symphony: The Role of Big Data and AI in Sustainability -- Chapter 6. Detailed Analysis of Climate Change and Its Mitigation via Technology -- Chapter 7. Development of Framework to Promote Sustainable Living Through Resource Conservation: CaseExemplars on IoT and Emerging Technologies -- Chapter 8. From Data to Sustainability: AI Case Studies in Shaping Sustainable Landscapes -- Chapter 9. Building Climate Resilience in the Caribbean: Solutions With Financial Inclusion and Climate-Smart Agriculture -- Chapter 10. Impact of AI on the Travel, Tourism, and Hospitality Sectors -- Chapter 11. Impact of Smart Wearables on the Behavior and Attitude Among Students of Engineering and Arts Faculty: A Comparative Study -- Chapter 12. Internet of Climate Change Things (IoCCT) for Sustainable Agricultural Production -- Chapter 13. Machine Learning Approach to Ensure Rice Nutrition Through Early Diagnosis of Rice Diseases -- Chapter 14. Role of Artificial Intelligence in Sustainable Development -- Chapter 15. Role of Sustainable Strategies Using Artifical Inteligence in Brain Tumour Detection and Treatment -- Chapter 16. Urban Flood Susceptibility in Khardah Municipality Using Machine Learning Technique: An Approach Towards Sustainable Green -- Compilation of References -- About the Contributors -- Index.
520 3 $a Achieving Sustainability with AI Technologies stands as the beacon of hope in this environmental conundrum. Edited with the intent of delivering a convergence strategy, this book comprehensively explores, transforms, and develops technological systems tailored to emerging technologies in society. Targeted at academic scholars, the book encapsulates a groundbreaking approach to the energy crisis by unraveling the potential of Green Computing. It serves as a pivotal guide, offering insights into sustainable cloud computing, harnessing artificial intelligence and machine learning for sustainability, navigating sustainable wireless systems and networks, and pioneering Green IoT and Edge-AI. Each chapter provides a profound exploration of solutions that bridge the gap between technological advancements and sustainable practices.
538 $a Mode of access: World Wide Web.
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650 0 $a Electronic data processing Environmental aspects. $3 3793598
650 0 $a Cloud computing. $3 1016782
653 $a 5G Networks.
653 $a AI and 5G Convergence.
653 $a Artificial Intelligence.
653 $a Battery Management.
653 $a Big Data Analysis.
653 $a Digital Transformation.
653 $a Eco-Friendly Cities.
653 $a Energy Generation.
653 $a Green IoT.
653 $a Machine Learning.
653 $a Security and Privacy.
653 $a Smart Cities.
653 $a Sustainable Development.
653 $a Sustainable Emerging Technologies.
653 $a Wireless Networks.
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700 1 $a Gupta, Swati. $3 3594140
700 1 $a Hans, Meenu. $3 3793597
700 1 $a Agrawal, Akshat. $3 3675563
700 1 $a Raman, Murali. $3 1904241
700 1 $a Jain, Vishal. $3 3450084
710 2 $a IGI Global. $3 1361470
776 0 8 $i Print version: $z 9798369334102
856 4 0 $u https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3410-2