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Can I read Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges on EtoBox?
Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges by Shaili Vyas; Kusum Dhakar; Sunita Varjani; Reeta Rani Singhania; Preeti Chaturvedi Bhargava; Raveendran Sindhu; Parameswaran Binod; Jonathan W.C. Wong; Xuan-Thanh Bui is a Environmental Science article available to read on EtoBox.
What is Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges about?
Many technical, climatic, environmental, biological, financial, educational, and regulatory factors are typically involved in solid waste management (SWM). Artificial Intelligence (AI) techniques have lately gained attraction in providing alternative computational methods for resolving problems of solid waste management. The purpose of this review is to direct solid waste management researchers taking an interest in the use of artificial intelligence in their area of study through main research elements such as AI models, their own benefits and drawbacks, effectiveness, and applications. The major AI technologies recognized are discussed in the subsections of the review, which contains a specific fusion of AI models. It also covers research that equated AI technologies to other non-AI methodologies. The section that follows contains a brief debate of the numerous SWM disciplines where AI was consciously applied. The article concludes with progress, challenges and perspectives in implementing AI-based solid waste management.
Who reads Solid waste management techniques powered by in-silico approaches with a special focus on municipal solid waste management: Research trends and challenges?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- Shaili Vyas; Kusum Dhakar; Sunita Varjani; Reeta Rani Singhania; Preeti Chaturvedi Bhargava; Raveendran Sindhu; Parameswaran Binod; Jonathan W.C. Wong; Xuan-Thanh Bui
- Publisher
- Elsevier BV
- Published
- 2023
- Language
- EN
- Field
- Environmental Science (Physical Sciences)