| 자료유형 | E-Book |
|---|---|
| 개인저자 | Tiwari, Rajesh Kumar, editor. Nyamasvisva, Tadiwa Elisha, editor. Ya'akub, Noor Inayah Binti, editor. Kumar, Rajeev, editor. |
| 단체저자명 | IGI Global,publisher. |
| 서명/저자사항 | AI and green technology applications in society /Rajeev Kumar, Noor Inayah Binti Ya'akub, Tadiwa Elisha Nyamasvisva, Rajesh Kumar Tiwari, editors. |
| 발행사항 | Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, 2025. |
| 형태사항 | 1 online resource (19 PDFs (454 pages)). |
| 총서사항 | Advances in environmental engineering and green technologies (AEEGT) book series |
| 소장본 주기 | Added to collection customer.56279.3 |
| ISBN | 9798369398814 |
| 기타표준부호 | 10.4018/979-8-3693-9879-1doi |
| 서지주기 | Includes bibliographical references and index. |
| 내용주기 | 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 Through Multi-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. |
| 요약 | 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 ethical implications, 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 an excellent resource for AI researchers, policymakers, sustainability professionals, academicians, graduate and postgraduate students, and more. |
| 일반주제명 | Artificial intelligence -- Environmental aspects. Clean energy -- Data processing. Clean energy industries -- Data processing. |
| 언어 | 영어 |
| 기타형태 저록 | Print version:9798369398791 |
| 대출바로가기 | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=4093590 |
인쇄
| No. | 등록번호 | 청구기호 | 소장처 | 도서상태 | 반납예정일 | 예약 | 서비스 | 매체정보 |
|---|---|---|---|---|---|---|---|---|
| 1 | WE00030937 | 303.4833 | 가야대학교/전자책서버(컴퓨터서버)/ | 대출가능 |
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