Artificial intelligence applications in solid waste management: A systematic research review
The waste management processes typically involve numerous technical, climatic,
environmental, demographic, socio-economic, and legislative parameters. Such complex …
environmental, demographic, socio-economic, and legislative parameters. Such complex …
Applying artificial neural networks (ANNs) to solve solid waste-related issues: A critical review
A Xu, H Chang, Y Xu, R Li, X Li, Y Zhao - Waste Management, 2021 - Elsevier
Artificial neural networks (ANNs) have recently attracted significant attention in
environmental areas because of their great self-learning capability and good accuracy in …
environmental areas because of their great self-learning capability and good accuracy in …
[HTML][HTML] Machine learning models for prediction the Higher Heating Value (HHV) of Municipal Solid Waste (MSW) for waste-to-energy evaluation
Time-resolved knowledge of physico-chemical properties of Municipal Solid Waste (MSW)
materials and their thermal energy content is one of the important subjects needed to build …
materials and their thermal energy content is one of the important subjects needed to build …
[HTML][HTML] Estimation of power generation from municipal solid wastes: A case Study of Ilorin metropolis, Nigeria
In this study, attempt was made to estimate the quantity of municipal solid waste (MSW)
generated per annum, the generation rate in kg/capita/day as well as the quantity and the …
generated per annum, the generation rate in kg/capita/day as well as the quantity and the …
Development of lower heating value prediction models and estimation of energy recovery potential of municipal solid waste and RDF incineration
A Kumar, SR Samadder - Energy, 2023 - Elsevier
Due to heterogeneity in municipal solid waste (MSW) characteristics and composition, the
already available heating value estimation methods cannot be accurately applied for the …
already available heating value estimation methods cannot be accurately applied for the …
Generalized models to predict the lower heating value (LHV) of municipal solid waste (MSW)
Accurately and efficiently predicting the LHV of MSW is vital for designing and operating a
waste-to-energy plant. However, previous prediction models possess limited geographical …
waste-to-energy plant. However, previous prediction models possess limited geographical …
A study on ai‐based waste management strategies for the covid‐19 pandemic
COVID‐19 has swept across the globe and disrupted all vectors of social life. Every informed
measure must be taken to stop its spread, bring down number of new infections and move to …
measure must be taken to stop its spread, bring down number of new infections and move to …
Application of a multi-stage neural network approach for time-series landfill gas modeling with missing data imputation
To mitigate the greenhouse gas effect, accurate and precise landfill gas prediction models
are required for more precise prediction of the amount and recovery time of methane gas …
are required for more precise prediction of the amount and recovery time of methane gas …
[HTML][HTML] Machine learning based modelling for lower heating value prediction of municipal solid waste
C Birgen, E Magnanelli, P Carlsson, Ø Skreiberg… - Fuel, 2021 - Elsevier
Municipal solid waste (MSW) is a heterogeneous and complex fuel. Time-resolved
knowledge of its physical and/or chemical properties is key to ensure stable Waste-to …
knowledge of its physical and/or chemical properties is key to ensure stable Waste-to …
A machine learning approach for investigating the impact of seasonal variation on physical composition of municipal solid waste
The fault in the method of collection of waste-related data which has resulted in ill-defined
and unreliable waste-data has necessitated the modeling approach. Despite the benefits of …
and unreliable waste-data has necessitated the modeling approach. Despite the benefits of …