International Journal of Environmental & Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 1 - 17
Опубликована: Март 12, 2025
Язык: Английский
International Journal of Environmental & Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 1 - 17
Опубликована: Март 12, 2025
Язык: Английский
Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 115406 - 115406
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1Journal of Environmental Science and Health Part A, Год журнала: 2025, Номер unknown, С. 1 - 16
Опубликована: Фев. 2, 2025
There are several uses for biomass-derived materials (BDMs) in the irrigation and farming industries. To solve problems with material, process, supply chain design, BDM systems have started to use machine learning (ML), a new technique approach. This study examined articles published since 2015 understand better current status, future possibilities, capabilities of ML supporting environmentally friendly development applications. Previous applications were classified into three categories according their objectives: material process performance prediction sustainability evaluation. helps optimize BDMs systems, predict properties performance, reverse engineering, data difficulties evaluations. Ensemble models cutting-edge Neural Networks operate satisfactorily on these datasets easily generalized. neural network poor interpretability, there not been any studies assessment that consider geo-temporal dynamics; thus, building methods is currently practical. Future research should follow workflow. Investigating potential system optimization, evaluation sustainable requires further investigation.
Язык: Английский
Процитировано
0Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0International Journal of Environmental & Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 1 - 17
Опубликована: Март 12, 2025
Язык: Английский
Процитировано
0