Artificial Intelligence and Machine Learning for Smart and Sustainable Waste Treatment: Emerging Applications and Best Practices

·
· Elsevier
Ebook
350
Pages
Eligible
This book will become available on April 1, 2027. You will not be charged until it is released.

About this ebook

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 management - Actionable 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 learning - Tools 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, impr...

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About the author

Izharul Haq is working as an Assistant Professor at the Manipal University Jaipur, India, where he specializes in environmental biotechnology, with a focus on waste management using microbial processes and evaluating the toxicity of pollutants. He completed his PhD in Microbiology at the CSIR-Indian Institute of Toxicology Research, Lucknow, India, and later conducted postdoctoral research at the Indian Institute of Technology, Guwahati. His current research work is in the field of environmental microbiology and pollutant remediation.

Krishna Chaitanya Maturi is an Assistant Professor in Department of civil engineering at Gati Shakti Vishwavidyalaya. He holds a B. Tech in Civil Engineering from JNTU Kakinada and an M. Tech in Civil/Environmental Engineering from IIT Guwahati. He completed his Ph.D. in Civil/Environmental Engineering, specializing in Solid Waste Management from IIT Guwahati. He has also served as a Research Associate at Hong Kong Baptist University and worked as a Project Scientist II in the Department of Civil Engineering at IIT Roorkee. His expertise spans environmental engineering, focusing on sustainable waste management practices, waste to energy, and Plastics and bioplastics in waste streams.

Izharul Haq is working as an Assistant Professor at the Manipal University Jaipur, India, where he specializes in environmental biotechnology, with a focus on waste management using microbial processes and evaluating the toxicity of pollutants. He completed his PhD in Microbiology at the CSIR-Ind...

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