Artificial Intelligence-driven Waste Management and Circular Economy

1. Auflage 2026
ISBN: 978-1-032-96813-1
Verlag: Taylor & Francis Ltd

Buch, Englisch, 384 Seiten, Format (B × H): 156 mm x 234 mm

Reihe: "International Perspectives on Science, Culture and Society"

The book connects theory and practices through the implementation of best practices, as well as lessons from successful artificial intelligence-driven circular economy projects from various sectors and geographies in the form of real-world case studies.

- Explores the synergy between artificial intelligence algorithms and sensor technologies, showcasing how they empower robots to recognize, categorize, manage waste materials, and automate recycling processes.

- Showcases examples and applications from various disciplines, demonstrating how theoretical concepts transcend specific fields and can be utilized in a multitude of contexts.

- Offers practical guidance on deploying artificial intelligence solutions in waste management.

- Discusses artificial intelligence techniques for optimizing waste management processes, including predictive analytics for demand forecasting, and optimization algorithms for resource allocation.

- Presents multi-agent systems, and artificial intelligence coordination in circular economy networks.

The title is primarily written for senior undergraduates, graduate students, and academic researchers in electrical engineering, electronics and communications engineering, computer science and engineering, environmental engineering, and economics.

Zielgruppe

Academic, Postgraduate, and Undergraduate Advanced

Autoren/Hrsg.

HL, Gururaj

Ravi, Vinayakumar

B C, Soundarya

J, Shreyas

Fachgebiete

• Geowissenschaften Umweltwissenschaften Abfallbeseitigung, Abfallentsorgung
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Umwelttechnik | Umwelttechnologie Abfallwirtschaft, Abfallentsorgung
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

1. Introduction to Circular Economy and Artificial Intelligence. 2. Policy and Regulatory Frameworks for Artificial Intelligence -enabled Circular Economy. 3. Challenges and Opportunities in Implementing Artificial Intelligence for Circular Economy. 4. Advanced Artificial Intelligence Techniques for Waste Characterization and Composition Analysis. 5. Reverse Logistics Optimization. 6. Artificial Intelligence Applications in Industrial Symbiosis. 7. Design for Disassembly and Remanufacturing with Artificial Intelligence. 8. Artificial Intelligence for Product Life Cycle Assessment (LCA). 9. Blockchain Technology for Supply Chain Transparency. 10. Cognitive Robotics and Artificial Intelligence-assisted Recycling Automation. 11. Human- Artificial Intelligence Interaction in Circular Economy Decision-making Processes. 12. Case Studies: Successful Applications of Artificial Intelligence in Circular Economy. 13. Multi-agent Systems and Artificial Intelligence Coordination in Circular Economy Networks. 14. Material Flow Analysis and Optimization. 15. Artificial Intelligence-Powered Energy Management in Circular Economy.

Über Autor(innen)

Gururaj H. L. is currently working as an associate professor, in the Department of Information Technology, at Manipal Institute of Technology, Bengaluru, India. India. He is a Senior member of IEEE and a lifetime member of ISTE and CSI. He has 13 years of teaching experience.at both UG and PG level. His research interests include blockchain technology, cyber security, wireless sensor networks, Ad-hoc networks, the Internet of Things, data mining, cloud computing, and machine learning. He has published more than 150+ research papers including 20 SCI publications. He has presented 55 papers at various international Conferences.  Vinayakumar Ravi works as an assistant research professor, at the Center for Artificial Intelligence, at Prince Mohammad Bin Fahd University, Khobar, Saudi Arabia. His previous position was as a Postdoctoral research fellow in developing and implementing novel computational and machine learning algorithms and applications for big data integration and data mining with Cincinnati Children's Hospital Medical Center, Cincinnati, USA. His current research interests include applications of data mining, artificial intelligence, machine learning (including deep learning) for biomedical informatics, cyber security, image processing, and natural language processing. He has more than 100 research publications in reputed IEEE conferences, IEEE Transactions, and Journals.  Soundarya B. C. is presently working as a research scholar, in the Department of Information Technology, at Manipal Institute of Technology, Bengaluru, India. India. She has published research papers in National and International Journals. Her research interests include cyber security, machine learning, and deep learning. Shreyas J is currently working as an assistant professor, in the Department of Information Technology, at Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. He has published more than 60 papers in international journals, and conferences. His current research interests include sensor networks, artificial intelligence of things, swarm intelligence, and machine learning.

Shreyas J is currently working as an assistant professor, in the Department of Information Technology, at Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, India. He has published more than 60 papers in international journals, and conferences. His current research interests include sensor networks, artificial intelligence of things, swarm intelligence, and machine learning.