Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research …

H Tao, SI Abba, AM Al-Areeq, F Tangang… - … applications of artificial …, 2024 - Elsevier
River flow (Q flow) is a hydrological process that considerably impacts the management and
sustainability of water resources. The literature has shown great potential for nature-inspired …

Prediction of potentially toxic elements in water resources using MLP-NN, RBF-NN, and ANFIS: a comprehensive review

JC Agbasi, JC Egbueri - Environmental Science and Pollution Research, 2024 - Springer
Water resources are constantly threatened by pollution of potentially toxic elements (PTEs).
In efforts to monitor and mitigate PTEs pollution in water resources, machine learning (ML) …

Design and Machine Learning Prediction of In Situ Grown PDA-Stabilized MOF (UiO-66-NH2) Membrane for Low-Pressure Separation of Emulsified Oily Wastewater

J Usman, SI Abba, N Baig, N Abu-Zahra… - … applied materials & …, 2024 - ACS Publications
Significant progress has been made in designing advanced membranes; however,
persistent challenges remain due to their reduced permeation rates and a propensity for …

[HTML][HTML] Crystal violet removal using ZIF-60: Batch adsorption studies, mechanistic & machine learning modeling

UM Ismail, SA Onaizi, MS Vohra - Environmental Technology & Innovation, 2024 - Elsevier
This study, for the first time, reported the utilization of ZIF-60 for the adsorptive removal of
organic pollutant from contaminated water. Characterization techniques were used to …

New-generation machine learning models as prediction tools for modeling interfacial tension of hydrogen-brine system

A Gbadamosi, H Adamu, J Usman, AG Usman… - International Journal of …, 2024 - Elsevier
Abstract Recently, hydrogen (H 2) gas has gained prodigious attention as a sustainable
energy carrier to reduce acute dependence on fossil fuels due to its fascinating properties …

Machine learning predictive insight of water pollution and groundwater quality in the Eastern Province of Saudi Arabia

AM Jibrin, M Al-Suwaiyan, A Aldrees, S Dan'azumi… - Scientific Reports, 2024 - nature.com
This study presents an innovative approach for predicting water and groundwater quality
indices (WQI and GWQI) in the Eastern Province of Saudi Arabia, addressing critical …

Hydrophilic, oleophilic and switchable Janus mixed matrix membranes for oily wastewater treatment: A review

F Abuhantash, YH Abuhasheesh, HM Hegab… - Journal of Water …, 2023 - Elsevier
Purification of oily wastewater holds significant importance due to its detrimental
environmental and human health implications. Mixed matrix membranes (MMMs) have …

Advancements in ceramic membranes for robust oil-water separation

PD Sutrisna, K Khoiruddin, PCWB Mustika… - Journal of …, 2024 - Elsevier
This paper provides a comprehensive review of the recent advancements in ceramic
membrane technology specifically tailored for oil-water separation. With the increasing …

Insight into soft chemometric computational learning for modelling oily-wastewater separation efficiency and permeate flux of polypyrrole-decorated ceramic-polymeric …

U Baig, J Usman, SI Abba, LT Yogarathinam… - … of Chromatography A, 2024 - Elsevier
Reliable modeling of oily wastewater emphasizes the paramount importance of sustainable
and health-conscious wastewater management practices, which directly aligns with the …