Fluoride and nitrate enrichment in coastal aquifers of the Eastern Province, Saudi Arabia: The influencing factors, toxicity, and human health risks

SI Abba, JC Egbueri, M Benaafi, J Usman, AG Usman… - Chemosphere, 2023 - Elsevier
Fluoride and nitrate contamination of groundwater is a major environmental issue in the
world's arid and semiarid regions. This issue is severe in both developed and developing …

Ensemble hybrid machine learning to simulate dye/divalent salt fractionation using a loose nanofiltration membrane

N Baig, SI Abba, J Usman, M Benaafi… - Environmental Science …, 2023 - pubs.rsc.org
The escalating quantity of wastewater from multiple sources has raised concerns about both
water reuse and environmental preservation. Therefore, there is a pressing need for …

Heavy metals prediction in coastal marine sediments using hybridized machine learning models with metaheuristic optimization algorithm

ZM Yaseen, WHMW Mohtar, RZ Homod, OA Alawi… - Chemosphere, 2024 - Elsevier
This study proposes different standalone models viz: Elman neural network (ENN), Boosted
Tree algorithm (BTA), and f relevance vector machine (RVM) for modeling arsenic (As …

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) …

Performance evaluation of hydroponic wastewater treatment plant integrated with ensemble learning techniques: a feature selection approach

HM Mustafa, G Hayder, SI Abba, AD Algarni, M Mnzool… - Processes, 2023 - mdpi.com
Wastewater treatment and reuse are being regarded as the most effective strategy for
combating water scarcity threats. This study examined and reported the applications of the …

Experimental-based groundwater salinization from the carbonate aquifer of eastern Saudi Arabia: Insight into machine learning coupled with meta-heuristic algorithms

M Benaafi, SI Abba, MO Oyedeji, AS Mubarak… - Chemometrics and …, 2024 - Elsevier
Groundwater (GW) salinization of coastal aquifers has become a serious problem for
attaining sustainable water resource management in Saudi Arabia and other parts of the …

Advancing Energy Performance Efficiency in Residential Buildings for Sustainable Design: Integrating Machine Learning and Optimized Explainable AI (AIX)

BS Alotaibi - International Journal of Energy Research, 2024 - Wiley Online Library
Buildings play a critical role in energy consumption, representing one of the primary
consumers of power. Heating load (HL) and cooling load (CL) are essential for determining …

Validation of Instruments for the Improvement of Interprofessional Education through Educational Management: An Internet of Things (IoT)-Based Machine Learning …

M Mohamed, F Altinay, Z Altinay, G Dagli, M Altinay… - Sustainability, 2023 - mdpi.com
Educational management is the combination of human and material resources that
supervises, plans, and responsibly executes an educational system with outcomes and …

[PDF][PDF] Machine learning-based wind speed estimation for renewable energy optimization in urban environments: A case study in Kano state, Nigeria

IA Mahmoud, UJ Muhammad, SJ Kawu… - Adv. J. Sci. Tech …, 2024 - researchgate.net
Climate change always had a massive effect on worldwide cities. which can only be decreased
through considering renewa Page 1 Advanced Journal of Science, Technology and …

A chemometrics-based approach for the chemical prediction of lead (Pb) levels in surface soil, Dammam, Saudi Arabia

BS Tawabini - Cogent Engineering, 2023 - Taylor & Francis
High levels of trace metals in top soil may impose serious health problems to humans and
the environment. Thus, there is a need to assess the geochemical conditions of surface soils …