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AI technologies for enhancing recycl...
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Pellegrini, Marika.
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AI technologies for enhancing recycling processes
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
AI technologies for enhancing recycling processes/ Debasis Mitra, Tanupriya Choudhury, Ayush Madan, Sourav Chattaraj, Marika Pellegrini, editors.
其他題名:
Artificial intelligence technologies for enhancing recycling processes
其他作者:
Pellegrini, Marika.
出版者:
Hershey, Pennsylvania :IGI Global Scientific Publishing, : 2025.,
面頁冊數:
1 online resource (xxvii, 637 p.) :ill.
內容註:
Foreword 1 -- Foreword 2 -- Preface -- Acknowledgment -- Chapter 1. Exploring New Technologies in Waste Recycling -- Chapter 2. Harnessing Energy for Waste Conversion Processes -- Chapter 3. Transformation of Waste: Cutting-Edge Technologies Paving the Way to Sustainability -- Chapter 4. Utilizing Artificial Intelligence and Machine Learning for Enhanced Recycling Efforts -- Chapter 5. AI and Applied Microbiology in Sustainable Waste Recycling and the Circular Economy-- Chapter 6. Chemical Breakthroughs Facilitating Superior Material Reclamation Techniques -- Chapter 7. Employing Biotechnology for the Treatment of Organic Refuse -- Chapter 8. Employing Technological Innovation for Eco-Friendly Waste Disposal at a Global Scale -- Chapter 9. Role of Nanotechnology in Enhancing Waste Reclamation -- Chapter 10. Predictive Analytics and Big Data in Forecasting Recycling Trends -- Chapter 11. Leveraging Augmented Reality for Educational Outreach on Recycling Practices -- Chapter 12. Considerations of Policy and Morality in Waste Management -- Chapter 13. Pioneering Zero Waste Technologies Within the Framework of Sustainable Progress -- Chapter 14. Intelligent Approaches to Promote Recycling Aligned With Sustainability Objectives -- Chapter 15. Smart Waste Management Systems Integrating IoT for Real-Time Monitoring and Optimization -- Chapter 16. Harnessing Nanotechnology to Transform Waste Reclamation for EnhancedEfficiency and Environmental Impact -- Chapter 17. Strengthening Local Communities Through Advanced Recycling Technology for Sustainable Growth -- Chapter 18. Bacterial Strategies: Novel Pathways for Sustainable Development Through Wastewater -- Chapter 19. The Role of Robotics and Automated Systems in Refining Waste Separation Processes -- Chapter 20. Innovative Wind Energy Solutions for Smart-Sustainable Communities: Vision for Intelligent Energy Management and Climate Resilience in Industry 5.0 -- Chapter 21. Strategic Biomass Use to Enhance Breakdown of Artificial Polymers: Aiming Towards Environmental Harmony -- Chapter 22. Conclusion of AI Technologies for Enhancing Recycling Processes -- Compilation of References -- About the Contributors -- Index.
標題:
Recycling (Waste, etc.) - Data processing. -
電子資源:
https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/979-8-3693-7282-1
ISBN:
9798369372845
AI technologies for enhancing recycling processes
AI technologies for enhancing recycling processes
[electronic resource] /Artificial intelligence technologies for enhancing recycling processesDebasis Mitra, Tanupriya Choudhury, Ayush Madan, Sourav Chattaraj, Marika Pellegrini, editors. - Hershey, Pennsylvania :IGI Global Scientific Publishing,2025. - 1 online resource (xxvii, 637 p.) :ill. - Advances in environmental engineering and green technologies (AEEGT) book series. - Advances in environmental engineering and green technologies (AEEGT) book series..
Includes bibliographic references and index.
Foreword 1 -- Foreword 2 -- Preface -- Acknowledgment -- Chapter 1. Exploring New Technologies in Waste Recycling -- Chapter 2. Harnessing Energy for Waste Conversion Processes -- Chapter 3. Transformation of Waste: Cutting-Edge Technologies Paving the Way to Sustainability -- Chapter 4. Utilizing Artificial Intelligence and Machine Learning for Enhanced Recycling Efforts -- Chapter 5. AI and Applied Microbiology in Sustainable Waste Recycling and the Circular Economy-- Chapter 6. Chemical Breakthroughs Facilitating Superior Material Reclamation Techniques -- Chapter 7. Employing Biotechnology for the Treatment of Organic Refuse -- Chapter 8. Employing Technological Innovation for Eco-Friendly Waste Disposal at a Global Scale -- Chapter 9. Role of Nanotechnology in Enhancing Waste Reclamation -- Chapter 10. Predictive Analytics and Big Data in Forecasting Recycling Trends -- Chapter 11. Leveraging Augmented Reality for Educational Outreach on Recycling Practices -- Chapter 12. Considerations of Policy and Morality in Waste Management -- Chapter 13. Pioneering Zero Waste Technologies Within the Framework of Sustainable Progress -- Chapter 14. Intelligent Approaches to Promote Recycling Aligned With Sustainability Objectives -- Chapter 15. Smart Waste Management Systems Integrating IoT for Real-Time Monitoring and Optimization -- Chapter 16. Harnessing Nanotechnology to Transform Waste Reclamation for EnhancedEfficiency and Environmental Impact -- Chapter 17. Strengthening Local Communities Through Advanced Recycling Technology for Sustainable Growth -- Chapter 18. Bacterial Strategies: Novel Pathways for Sustainable Development Through Wastewater -- Chapter 19. The Role of Robotics and Automated Systems in Refining Waste Separation Processes -- Chapter 20. Innovative Wind Energy Solutions for Smart-Sustainable Communities: Vision for Intelligent Energy Management and Climate Resilience in Industry 5.0 -- Chapter 21. Strategic Biomass Use to Enhance Breakdown of Artificial Polymers: Aiming Towards Environmental Harmony -- Chapter 22. Conclusion of AI Technologies for Enhancing Recycling Processes -- Compilation of References -- About the Contributors -- Index.
"This book aims to illuminate the power of emerging technologies in reshaping waste management and advancing towards a sustainable future"--
Mode of access: World Wide Web.
ISBN: 9798369372845Subjects--Topical Terms:
3793594
Recycling (Waste, etc.)
--Data processing.Subjects--Index Terms:
Artificial Intelligence.Index Terms--Genre/Form:
542853
Electronic books.
LC Class. No.: TD794.5 / .A38 2025eb
Dewey Class. No.: 628.4/458
AI technologies for enhancing recycling processes
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