Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction
Improper municipal solid waste (MSW) management contributes to greenhouse gas
emissions, necessitating emissions reduction strategies such as waste reduction, recycling …
emissions, necessitating emissions reduction strategies such as waste reduction, recycling …
An ensemble learning based classification approach for the prediction of household solid waste generation
With the increase in urbanization and smart cities initiatives, the management of waste
generation has become a fundamental task. Recent studies have started applying machine …
generation has become a fundamental task. Recent studies have started applying machine …
[HTML][HTML] Smart waste management: A paradigm shift enabled by artificial intelligence
Waste management poses a pressing global challenge, necessitating innovative solutions
for resource optimization and sustainability. Traditional practices often prove insufficient in …
for resource optimization and sustainability. Traditional practices often prove insufficient in …
Hybrid deep learning model for accurate classification of solid waste in the society
H Zhang, H Cao, Y Zhou, C Gu, D Li - Urban Climate, 2023 - Elsevier
Due to the increasing initiatives for urbanization and the development of smart cities, waste
generation, segregation, and its management have become fundamental tasks. To provide …
generation, segregation, and its management have become fundamental tasks. To provide …
Enhanced adaptive neuro-fuzzy inference system using genetic algorithm: A case study in predicting electricity consumption
S Oladipo, Y Sun - SN Applied Sciences, 2023 - Springer
Energy forecasting is crucial for efficient energy management and planning for future energy
needs. Previous studies have employed hybrid modeling techniques, but insufficient …
needs. Previous studies have employed hybrid modeling techniques, but insufficient …
Intelligent classification of surrounding rock of tunnel based on 10 machine learning algorithms
S Zhao, M Wang, W Yi, D Yang, J Tong - Applied Sciences, 2022 - mdpi.com
The quality evaluation of the surrounding rock is the cornerstone of tunnel design and
construction. Previous studies have confirmed the existence of a relationship between …
construction. Previous studies have confirmed the existence of a relationship between …
Sustainable solid waste management system using technology-enabled end-of-pipe strategies
Ever Increasing accumulation of solid waste, attributed to population growth and rapid
urbanization, is a serious issue for all nations. This creates hindrance in implementing …
urbanization, is a serious issue for all nations. This creates hindrance in implementing …
[HTML][HTML] Predictive modeling for the quantity of recycled end-of-life products using optimized ensemble learners
The rapid development of machine learning algorithms provides new solutions for predicting
the quantity of recycled end-of-life products. However, the Stacking ensemble model is less …
the quantity of recycled end-of-life products. However, the Stacking ensemble model is less …
Comparative Analysis of Machine Learning Methods for Predicting Energy Recovery from Waste
In the context of escalating energy demands and the quest for sustainable waste
management solutions, this paper evaluates the efficacy of three machine learning methods …
management solutions, this paper evaluates the efficacy of three machine learning methods …
The combined machine learning model SMOTER-GA-RF for methane yield prediction during anaerobic digestion of straw lignocellulose based on random forest …
Z Wang, F Wu, N Hao, T Wang, N Cao… - Journal of Cleaner …, 2024 - Elsevier
Simulating anaerobic digestion (AD) using a machine learning (ML) is important for guiding
methane production in practice. But the performance of the ML is affected by operational …
methane production in practice. But the performance of the ML is affected by operational …