Predicting Water Quality Index (WQI) by feature selection and machine learning: A case study of An Kim Hai irrigation system

BQ Lap, H Du Nguyen, PT Hang, NQ Phi, VT Hoang… - Ecological …, 2023 - Elsevier
A variety of water quality indices have been used to assess the state of waterbodies all over
the world. In calculating a Water Quality Index (WQI), traditional methods require the …

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 …

Metaheuristic approaches for prediction of water quality indices with relief algorithm-based feature selection

NL Kushwaha, J Rajput, T Suna, DR Sena… - Ecological …, 2023 - Elsevier
Monitoring and assessing groundwater quality are important for sustainable water resource
management. Therefore, the present study aimed to analyze and predict the water quality …

Combination of discretization regression with data-driven algorithms for modeling irrigation water quality indices

PK Singh, J Rajput, D Kumar, V Gaddikeri… - Ecological …, 2023 - Elsevier
Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in developing nations …

Modeling of groundwater quality index by using artificial intelligence algorithms in northern Khartoum State, Sudan

MAA Mohammed, NAA Khleel, NP Szabó… - Modeling Earth Systems …, 2023 - Springer
In the present study, multilayer perceptron (MLP) neural network and support vector
regression (SVR) models were developed to assess the suitability of groundwater for …

Mapping of groundwater salinization and modelling using meta-heuristic algorithms for the coastal aquifer of eastern Saudi Arabia

SI Abba, M Benaafi, AG Usman, DU Ozsahin… - Science of The Total …, 2023 - Elsevier
The growing increase in groundwater (GW) salinization in the coastal aquifers has reached
an alarming socio-economic menace in Saudi Arabia and various places globally due to …

[HTML][HTML] Sandstone groundwater salinization modelling using physicochemical variables in Southern Saudi Arabia: Application of novel data intelligent algorithms

SI Abba, M Benaafi, AG Usman, IH Aljundi - Ain Shams Engineering …, 2023 - Elsevier
Reliable modelling and simulation of groundwater management are crucial for sustainable
development. Groundwater salinization is considered challenging and has recently led to …

A novel hybrid optimization approach for fault detection in photovoltaic arrays and inverters using AI and statistical learning techniques: a focus on sustainable …

A Abubakar, MM Jibril, CFM Almeida, M Gemignani… - Processes, 2023 - mdpi.com
Fault detection in PV arrays and inverters is critical for ensuring maximum efficiency and
performance. Artificial intelligence (AI) learning can be used to quickly identify issues …

Intelligent process optimisation based on cutting-edge emotional learning for performance evaluation of NF/RO of seawater desalination plant

SI Abba, M Benaafi, IH Aljundi - Desalination, 2023 - Elsevier
As decision-makers, researchers encounter highly dynamic, complex problems requiring
suitable nature-based and industrial quantitative tools for performance analyses, syntheses …

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 …