Synthesis and performance evaluation of a novel nitrogen-rich cross-linked polyamine for improved mercury uptake from water DOI
Nuhu Dalhat Mu’azu,

Taye Saheed Kazeem,

Othman Charles S. Al Hamouz

и другие.

International Journal of Environmental & Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Март 12, 2025

Язык: Английский

Predicting harvesting efficiency of microalgae with magnetic nanoparticles using machine learning models DOI
Yu Fu, Qingran Zhang,

Zhengying Tan

и другие.

Journal of environmental chemical engineering, Год журнала: 2025, Номер unknown, С. 115406 - 115406

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1

Application of machine learning for environmentally friendly advancement: exploring biomass-derived materials in wastewater treatment and agricultural sector − a review DOI Creative Commons
Banza Jean Claude, Linda L. Sibali

Journal 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

0

Machine Learning Algorithms for Prediction of Sb Adsorption by Iron-Based Materials And Exploration of Critical Factors DOI
Guoqiang Zhou, Xiangang Hu, Weimin Wang

и другие.

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0

Synthesis and performance evaluation of a novel nitrogen-rich cross-linked polyamine for improved mercury uptake from water DOI
Nuhu Dalhat Mu’azu,

Taye Saheed Kazeem,

Othman Charles S. Al Hamouz

и другие.

International Journal of Environmental & Analytical Chemistry, Год журнала: 2025, Номер unknown, С. 1 - 17

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

0