Achieving sustaiInability with AI technologies:
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. Ta...
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| Other Authors: | , , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA)
IGI Global
2025.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | 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. |
| Physical Description: | 22 PDFs (492 Seiten) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9798369334119 |
| Access: | Restricted to subscribers or individual electronic text purchasers. |
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| 246 | 3 | |a Achieving sustainability with artificial intelligence technologies | |
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| 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: Case Exemplars 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. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 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. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 12/24/2024). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Sustainability. | |
| 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. | ||
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Agrawal, Akshat |e editor. | |
| 700 | 1 | |a Gupta, Swati |e editor. | |
| 700 | 1 | |a Hans, Meenu |e editor. | |
| 700 | 1 | |a Jain, Vishal |e editor. | |
| 700 | 1 | |a Raman, Murali |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
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| adam_text | |
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| author2 | Agrawal, Akshat Gupta, Swati Hans, Meenu Jain, Vishal Raman, Murali |
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| author_facet | Agrawal, Akshat Gupta, Swati Hans, Meenu Jain, Vishal Raman, Murali |
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| contents | 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: Case Exemplars 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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| discipline | Wirtschaftswissenschaften |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00335889 |
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| indexdate | 2025-03-18T14:30:38Z |
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| spelling | Achieving sustaiInability with AI technologies Vishal Jain, Murali Raman, Akshat Agrawal, Meenu Hans, Swati Gupta, editors. Achieving sustainability with artificial intelligence technologies Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) IGI Global 2025. 22 PDFs (492 Seiten) text rdacontent electronic isbdmedia online resource rdacarrier 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: Case Exemplars 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. Restricted to subscribers or individual electronic text purchasers. 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. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 12/24/2024). Artificial intelligence. Machine learning. Sustainability. 5G Networks. AI and 5G Convergence. Artificial Intelligence. Battery Management. Big Data Analysis. Digital Transformation. Eco-Friendly Cities. Energy Generation. Green IoT. Machine Learning. Security and Privacy. Smart Cities. Sustainable Development. Sustainable Emerging Technologies. Wireless Networks. Electronic books. Agrawal, Akshat editor. Gupta, Swati editor. Hans, Meenu editor. Jain, Vishal editor. Raman, Murali editor. IGI Global, publisher. Print version: 9798369334102 |
| spellingShingle | Achieving sustaiInability with AI technologies 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: Case Exemplars 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. Artificial intelligence. Machine learning. Sustainability. |
| title | Achieving sustaiInability with AI technologies |
| title_alt | Achieving sustainability with artificial intelligence technologies |
| title_auth | Achieving sustaiInability with AI technologies |
| title_exact_search | Achieving sustaiInability with AI technologies |
| title_full | Achieving sustaiInability with AI technologies Vishal Jain, Murali Raman, Akshat Agrawal, Meenu Hans, Swati Gupta, editors. |
| title_fullStr | Achieving sustaiInability with AI technologies Vishal Jain, Murali Raman, Akshat Agrawal, Meenu Hans, Swati Gupta, editors. |
| title_full_unstemmed | Achieving sustaiInability with AI technologies Vishal Jain, Murali Raman, Akshat Agrawal, Meenu Hans, Swati Gupta, editors. |
| title_short | Achieving sustaiInability with AI technologies |
| title_sort | achieving sustaiinability with ai technologies |
| topic | Artificial intelligence. Machine learning. Sustainability. |
| topic_facet | Artificial intelligence. Machine learning. Sustainability. Electronic books. |
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