Thermal kinetic parameters based classification method of residual waste oriented for efficient energy utilization

R Liang, C Chen, J Tao, Y Xu, M Song, Z Cheng… - Journal of Cleaner …, 2024 - Elsevier
Thermal kinetic heterogeneity of mixed residual waste (RW) is a serious problem leading to
unsatisfactory efficiency and stability during energy utilization processes. This work …

[PDF][PDF] Advancing the industrial circular economy: the integrative role of machine learning in resource optimization

KY Lin, SH Wei - Journal of green economy and low-carbon …, 2023 - library.acadlore.com
In the face of escalating resource scarcity driven by the consumption of non-renewable
resources, the industrial circular economy (ICE) emerges as a vital paradigm shift, pivotal for …

Machine Learning Prediction of Phosphate Adsorption on Six Different Metal-Containing Adsorbents

Y Wu, Y Li, Z Jiang, Z Xu, M Yang, J Ding… - ACS ES&T …, 2023 - ACS Publications
Phosphate removal is a crucial objective in wastewater engineering to reduce harmful
environmental impacts like eutrophication. Adsorption, a low-cost and efficient process for …

Whole‐process and multi‐stakeholder‐based solid waste management framework construction for industrial parks: Toward circular economy development

C Shu, Z Feng, C Liang, J Guo, F Xu… - Journal of Industrial …, 2024 - Wiley Online Library
The intensive generation of industrial solid waste (ISW) in industrial parks poses a severe
threat to the water and soil environment. To address the lack of system‐level guidance …