Artificial Intelligence-driven Waste Management and Circular Economy

The book discusses advanced artificial intelligence techniques for waste characterization and composition analysis. It offers readers practical insights into the real-world application of circular economy principles, enhancing their understanding and implementation of sustainable practices.

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.