Artificial Intelligence and Machine Learning for Smart and Sustainable Waste Treatment provides a much-needed, specialized resource on the application of Artificial intelligence (AI) and machine learning in sustainable waste management. The book provides methods to help streamline processes, improve recycling rates, reduce contamination, and lower operational costs along with Machine learning models that can enhance forecasting and planning, allowing municipalities to optimize collection schedules and waste processing strategies. By combining theoretical insights with practical solutions, this book closes the gap between advanced technology and real-world applications, providing a roadmap for transforming solid waste management through data-driven, AI-powered approaches and seeks to drive forward the integration of intelligent, sustainable solutions into waste management practices across the globe.Clear Methodologies and Frameworks: The book provides structured methodologies for integrating AI and machine learning techniques into various facets of solid waste managementActionable Case Studies and Real-World Examples: To help readers understand the practical applications of AI in waste management, the book presents detailed case studies from cities, companies, and research projects that have successfully implemented AI and machine learningTools for Optimization and Sustainability: The book equips readers with the tools they need to optimize waste management processes. This includes AI models that predict waste patterns, recommend sorting improvements, and streamline recycling operations

Artificial Intelligence and Machine Learning for Smart and Sustainable Waste Treatment provides a much-needed, specialized resource on the application of Artificial intelligence (AI) and machine learning in sustainable waste management. The book provides methods to help streamline processes, improve recycling rates, reduce contamination, and lower operational costs along with Machine learning models that can enhance forecasting and planning, allowing municipalities to optimize collection schedules and waste processing strategies. By combining theoretical insights with practical solutions, this book closes the gap between advanced technology and real-world applications, providing a roadmap for transforming solid waste management through data-driven, AI-powered approaches and seeks to drive forward the integration of intelligent, sustainable solutions into waste management practices across the globe.Clear Methodologies and Frameworks: The book provides structured methodologies for integrating AI and machine learning techniques into various facets of solid waste managementActionable Case Studies and Real-World Examples: To help readers understand the practical applications of AI in waste management, the book presents detailed case studies from cities, companies, and research projects that have successfully implemented AI and machine learningTools for Optimization and Sustainability: The book equips readers with the tools they need to optimize waste management processes. This includes AI models that predict waste patterns, recommend sorting improvements, and streamline recycling operations