Municipal Solid Waste Management and Recycling Technologies. This item is unavailable.Municipal Solid Waste Management and Recycling Technologies

The issue of overflowing landfills and environmental degradation caused by municipal solid waste is becoming increasingly pressing. Despite the importance of recycling, challenges such as contamination and the need for market demand for recycled materials persist. Addressing these challenges requires a comprehensive understanding of waste composition, innovative technologies, and effective policies. Municipal Solid Waste Management and Recycling Technologies serves as a solution, offering a deep dive into the complexities of municipal solid waste recycling and providing insights that can drive sustainable waste management practices. By delving into topics such as the role of education and awareness campaigns, technological advancements in waste sorting, and the economic aspects of recycling, this book equips readers with the knowledge needed to make a meaningful impact. It explores innovative recycling technologies, social and environmental implications, successful case studies, and strategies for reducing contamination in recycling processes. The book also highlights the importance of collaboration among researchers, policymakers, and stakeholders to implement effective waste management systems. Developed for a diverse audience, including environmental researchers, waste management professionals, government officials, academics, students, NGOs, and industry professionals, Municipal Solid Waste Management and Recycling Technologies offers practical insights and best practices. It is a valuable resource for learning, research, policy development, and promoting sustainable waste management practices. With its comprehensive coverage of critical topics and focus on real-world solutions, this book is essential reading for anyone interested in positively impacting municipal solid waste recycling.

Ritika Mehra is working as a Professor and Dean of School of Engineering & Computing at Dev Bhoomi Uttarakhand University, Dehradun. She received her Ph.D. degree in Computer Science from Gurukul Kangri University, Haridwar in the year 2010, M.Tech degree in Computer Science and Engineering from Uttarakhand Technical University, Dehradun and MCA from Gurukul Kangri University Haridwar. She specializes in core areas of computer science and holds experience of more than 22 years. She is an innovative person with deep knowledge of Machine learning, Data Mining, Bigdata Analytics, Computer Networks etc. She has also published more than 100 research papers in various National and International Journals of reputed publishers such as IEEE, Springer Nature, Elsevier and CRC press. She has organized several workshops/ Seminars/ STCs/FDPs/Conferences. She has delivered several invited talks. She is associate editor and guest editor to many international Journals.

Pramendra Kumar is working as assistant professor in Department of Computer Science and Engineering at Dev bhoomi Uttaraandkhand University in present and also having past 11 year of teaching experience in various prestigious Institute of Rajasthan. He has done Diploma(CSE) From BTER Jodhpur, B.tech(CSE) and M.tech (CSE) from Rajasthan Technical University and Ph. D from Manipal University Jaipur, Rajasthan. He has more than 10 patents US and Indian and had published several research paper in reputed journal index Scopus, SCIE and WOS and conferences indexed by Scopus. His are of interest include Blockchain Technology, medical signal processing, Medical image processing, Data mining. He has received the best teacher award from various recognized organizations.

Bui Hung received his M.S. degree and Ph.D. degree from Japan Advanced Institute of Science and Technology (JAIST) in 2010 and in 2013. He was the Director of Data Analysis Artificial Intelligence Laboratory– DAAI Lab, Thu Dau Mot university (2018-2021); Director of Artificial Intelligence Laboratory–AI Lab, Faculty of Information Technology, Ton Duc Thang University (2021-2022). Now He work for Data Science Laboratory, Data Science Department, Faculty of Information Technology, Industrial University of Ho Chi Minh city. He has completed 2 projects, published 2 books, 2Ò6 journals, 26 book chapters, 42 International conference papers and 17 domestic conference papers. He had four best paper awards of FICTA 2018, RICE 2020, ICAIAA 2021 and CIEMA 2022. He was selected as Excellent Scientific Researcher of Thu Dau Mot University in 2019, 2020, 2021; and got CIEMA Research Excellence Awards 2022. He is a reviewer of many reputed journals and conferences. He is also a keynote speaker of many domestic and international conferences. His main research interests are Natural Language Processing, Machine Learning, Machine Translation, Text Processing, Data Analytics, Computer Vision and Artificial Intelligence.