Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(6), С. 114671 - 114671
Опубликована: Ноя. 4, 2024
Язык: Английский
Journal of environmental chemical engineering, Год журнала: 2024, Номер 12(6), С. 114671 - 114671
Опубликована: Ноя. 4, 2024
Язык: Английский
Separation and Purification Technology, Год журнала: 2024, Номер 341, С. 126810 - 126810
Опубликована: Фев. 19, 2024
Язык: Английский
Процитировано
13Desalination, Год журнала: 2024, Номер 592, С. 118075 - 118075
Опубликована: Сен. 6, 2024
Язык: Английский
Процитировано
13Journal of Molecular Liquids, Год журнала: 2024, Номер 411, С. 125745 - 125745
Опубликована: Авг. 11, 2024
Язык: Английский
Процитировано
9International Journal of Biological Macromolecules, Год журнала: 2024, Номер 274, С. 133379 - 133379
Опубликована: Июнь 25, 2024
Язык: Английский
Процитировано
8Environmental Research, Год журнала: 2024, Номер 251, С. 118593 - 118593
Опубликована: Март 4, 2024
Although studies dealing with adsorption/desorption (and/or retention/release) of pollutants present in environmental compartments is a classical field research, recent papers are focusing on some weak points investigations and publications within the area. In addition, an increasing number works being published related to new possibilities alternatives this kind research works, many them relation use artificial intelligence (AI). Considering existence eventual controversies, mistakes, convenience suggesting go ahead future, work, after taking into account relevant previous literature, simple workflow proposed as protocol revise successive steps that could guide direction follow when programing retention/release soils sorbent materials.
Язык: Английский
Процитировано
7Environmental Geochemistry and Health, Год журнала: 2025, Номер 47(2)
Опубликована: Янв. 20, 2025
Язык: Английский
Процитировано
0Journal 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
0Biomass Conversion and Biorefinery, Год журнала: 2025, Номер unknown
Опубликована: Фев. 5, 2025
Язык: Английский
Процитировано
0Separation and Purification Technology, Год журнала: 2024, Номер 354, С. 129400 - 129400
Опубликована: Авг. 30, 2024
Язык: Английский
Процитировано
3Journal of Saudi Chemical Society, Год журнала: 2024, Номер 28(6), С. 101930 - 101930
Опубликована: Сен. 6, 2024
Язык: Английский
Процитировано
1