Application of Machine Learning Algorithms for the Integrated Solid Waste Management in Guwahati City

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dc.contributor.authorSingh, Tinka
dc.date.accessioned2025-01-10T11:57:42Z
dc.date.available2025-01-10T11:57:42Z
dc.date.issued2023
dc.descriptionSupervisor: Uppaluri, Ramagopal V S
dc.description.abstractRapid urbanization and enhanced consumption patterns lead to substantial growth in the municipal solid waste (MSW) generation rates. Social and environmental challenges are ever increasing due to world-wide enhancement in the per capita waste generation. Technological interventions will foster the integrated city-wide solid waste management in several important yet mandatory themes. Notable among these are accurate prediction and forecasting of total solid waste, compost production rate, biogas production rate, greenhouse gas (GHG) emissions from landfills and incinerators, and design specification-based techno-economic analyses of composting and anaerobic biogas digester systems. With such efforts, environmental planning of solid waste managerial infrastructure can be established through effective planning strategies.
dc.identifier.otherROLL NO.176152101
dc.identifier.urihttps://gyan.iitg.ac.in/handle/123456789/2797
dc.language.isoen
dc.relation.ispartofseriesTH-3250
dc.titleApplication of Machine Learning Algorithms for the Integrated Solid Waste Management in Guwahati City
dc.typeThesis
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