A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Artificial Intelligence Based Smart Waste Management—A Systematic Review
Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intelligence offers various approaches which can help to construct smart waste management systems. AI based systems are used to tackle complicated problems, handle uncertainty, and exhibit the efficiency of smart systems. This article aims to conduct systematic literature review on artificial intelligent-based smart waste management systems. In this study, we have identified and analyzed 40 research papers published between the years 2001 to 2021. These papers have proposed various frameworks and smart models for different types of waste management. The main goal of this study is to summarize the findings of selected research papers, provide comprehensive analysis and identify the future research avenues of waste management. This chapter has addressed various waste management domains like municipal solid waste management, smart bin management, domestic waste management, medical waste management, construction and industrial waste management, and so on. Furthermore, categorical representation of most extensively used machine learning and deep learning algorithms along with their contribution have been elaborately discussed as well.
Artificial Intelligence Based Smart Waste Management—A Systematic Review
Smart waste management is an approach that utilizes modern technology to manage waste materials in effective, efficient, and economical way. Artificial intelligence offers various approaches which can help to construct smart waste management systems. AI based systems are used to tackle complicated problems, handle uncertainty, and exhibit the efficiency of smart systems. This article aims to conduct systematic literature review on artificial intelligent-based smart waste management systems. In this study, we have identified and analyzed 40 research papers published between the years 2001 to 2021. These papers have proposed various frameworks and smart models for different types of waste management. The main goal of this study is to summarize the findings of selected research papers, provide comprehensive analysis and identify the future research avenues of waste management. This chapter has addressed various waste management domains like municipal solid waste management, smart bin management, domestic waste management, medical waste management, construction and industrial waste management, and so on. Furthermore, categorical representation of most extensively used machine learning and deep learning algorithms along with their contribution have been elaborately discussed as well.
Artificial Intelligence Based Smart Waste Management—A Systematic Review
Green Energy,Technology
Lahby, Mohamed (editor) / Al-Fuqaha, Ala (editor) / Maleh, Yassine (editor) / Sinthiya, Nusrat Jahan (author) / Chowdhury, Tanvir Ahmed (author) / Haque, A. K. M. Bahalul (author)
2022-04-22
26 pages
Article/Chapter (Book)
Electronic Resource
English
Smart waste management , Artificial intelligence , Systematic literature review (SLR) , Machine learning , Deep learning Environment , Sustainable Development , Power Electronics, Electrical Machines and Networks , Cities, Countries, Regions , Renewable and Green Energy , Communications Engineering, Networks , Energy
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