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Achieving sustainability with AI tec...
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Agrawal, Akshat.
Achieving sustainability with AI technologies
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Achieving sustainability with AI technologiesVishal Jain, Murali Raman, Akshat Agrawal, Meenu Hans, Swati Gupta, editors.
其他題名:
Achieving sustainability with artificial intelligence technologies
其他作者:
Gupta, Swati.
出版者:
Hershey, Pennsylvania :IGI Global,2025.
面頁冊數:
1 online resource (xxiv, 468 p.) :ill.
標題:
Sustainable engineeringData processing.
電子資源:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3410-2
ISBN:
9798369334119$q(ebook)
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: 9798369334119$q(ebook)Subjects--Topical Terms:
908503
Sustainable engineering
--Data processing.Subjects--Index Terms:
5G Networks.Index Terms--Genre/Form:
214472
Electronic books.
LC Class. No.: TA163 / .A34 2025eb
Dewey Class. No.: 628
Achieving sustainability with AI technologies
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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.
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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.
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Battery Management.
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Big Data Analysis.
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Digital Transformation.
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Eco-Friendly Cities.
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Green IoT.
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Machine Learning.
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Security and Privacy.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-3410-2
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