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Recent advances in urban green energy development towards carbon emissions neutrality
Climate change is a significant long-term threat faced by humanity today. The urban energy
transformation from a carbon-emissions-intensive environment to a carbon-emissions-free …
transformation from a carbon-emissions-intensive environment to a carbon-emissions-free …
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 …
Curbing global solid waste emissions toward net-zero warming futures
No global analysis has considered the warming that could be averted through improved
solid waste management and how much that could contribute to meeting the Paris …
solid waste management and how much that could contribute to meeting the Paris …
[HTML][HTML] Temporal analysis of settlement areas and city footprints on construction and demolition waste quantification using Landsat satellite imagery
Municipal solid waste management has seen a surge in the use of satellite imagery in
decision-making processes, yet its application to analyze quantitative variations in …
decision-making processes, yet its application to analyze quantitative variations in …
Dioxin emissions from municipal solid waste incineration in the context of waste classification policy
B Liu, Z Han, X Liang - Atmospheric Pollution Research, 2023 - Elsevier
Municipal solid waste incineration is gradually becoming the main method of waste
disposal, but waste incineration produces many organic pollutants (eg, dioxins). In order to …
disposal, but waste incineration produces many organic pollutants (eg, dioxins). In order to …
SMOTE-CD: SMOTE for compositional data
Compositional data are a special kind of data, represented as a proportion carrying relative
information. Although this type of data is widely spread, no solution exists to deal with the …
information. Although this type of data is widely spread, no solution exists to deal with the …
Green loops and clean skies: Optimizing municipal solid waste management using data science for a circular economy
Abstract The interplay between Municipal Solid Waste (MSW) Management and data
science unveils a panorama of opportunities and challenges, set against the backdrop of …
science unveils a panorama of opportunities and challenges, set against the backdrop of …
Assessing carbon budgets and reduction pathways in different income levels with neural network forecasting
Understanding carbon emissions across income levels is vital to limiting global warming to
below 1.5° C and 2° C, as the Paris Agreement outlines. Unequal emission patterns can …
below 1.5° C and 2° C, as the Paris Agreement outlines. Unequal emission patterns can …
Dioxin emission prediction from a full-scale municipal solid waste incinerator: Deep learning model in time-series input
The immeasurability of real-time dioxin emissions is the principal limitation to controlling and
reducing dioxin emissions in municipal solid waste incineration (MSWI). Existing methods …
reducing dioxin emissions in municipal solid waste incineration (MSWI). Existing methods …
Develo** a sustainability solid waste treatment portfolio for 3Ps (planet-prosperity-people) nexus
Municipal solid waste requires effective management to avoid adverse environmental
impacts, such as pollution emissions and leachate discharge, and to enhance economic …
impacts, such as pollution emissions and leachate discharge, and to enhance economic …