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Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach

Water science and technology, 2018-12, Vol.78 (10), p.2064-2076

2018

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Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach

Journal of hydrology (Amsterdam), 2019-10, Vol.577, p.123962, Article 123962

2019

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Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques

Remote sensing (Basel, Switzerland), 2020-01, Vol.12 (1), p.106

2020

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Optimization and prediction of tribological behaviour of filled polytetrafluoroethylene composites using Taguchi Deng and hybrid support vector regression models

Scientific reports, 2022-06, Vol.12 (1), p.10393-10393, Article 10393

2022

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Effects of Seawater Intrusion on the Groundwater Quality of Multi-Layered Aquifers in Eastern Saudi Arabia

Molecules (Basel, Switzerland), 2023-04, Vol.28 (7), p.3173

2023

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Integrated Hydrogeological, Hydrochemical, and Isotopic Assessment of Seawater Intrusion into Coastal Aquifers in Al-Qatif Area, Eastern Saudi Arabia

Molecules (Basel, Switzerland), 2022-10, Vol.27 (20), p.6841

2022

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A Novel Multi-model Data-Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development

Chromatographia, 2020-08, Vol.83 (8), p.933-945

2020

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Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination

Journal of hydrology (Amsterdam), 2020-08, Vol.587, p.124974, Article 124974

2020

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Simulation for response surface in the HPLC optimization method development using artificial intelligence models: A data-driven approach

Chemometrics and intelligent laboratory systems, 2020-06, Vol.201, p.104007, Article 104007

2020

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Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

Hydrological sciences journal, 2020-07, Vol.65 (10), p.1738-1751

2020

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Groundwater level prediction using machine learning models: A comprehensive review

Neurocomputing (Amsterdam), 2022-06, Vol.489, p.271-308

2022

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Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation

IEEE access, 2019, Vol.7, p.141533-141548

2019

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Experimental Evaluation and Modeling of Polymer Nanocomposite Modified Asphalt Binder Using ANN and ANFIS

Journal of materials in civil engineering, 2020-10, Vol.32 (10)

2020

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Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis

Journal of hydrology (Amsterdam), 2022-06, Vol.609, p.127747, Article 127747

2022

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Comparative implementation between neuro-emotional genetic algorithm and novel ensemble computing techniques for modelling dissolved oxygen concentration

Hydrological sciences journal, 2021-07, Vol.66 (10), p.1584-1596

2021

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Geochemical and Spatial Distribution of Topsoil HMs Coupled with Modeling of Cr Using Chemometrics Intelligent Techniques: Case Study from Dammam Area, Saudi Arabia

Molecules (Basel, Switzerland), 2022-06, Vol.27 (13), p.4220

2022

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

Chemosphere (Oxford), 2023-09, Vol.336, p.139083-139083, Article 139083

2023

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Assessment of climate change impact on probable maximum floods in a tropical catchment

Theoretical and applied climatology, 2022-04, Vol.148 (1-2), p.15-31

2022

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An intelligent hybridized computing technique for the prediction of roadway traffic noise in urban environment

Soft computing (Berlin, Germany), 2023-08, Vol.27 (15), p.10807-10825

2023

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

The Science of the total environment, 2023-02, Vol.858, p.159697-159697, Article 159697

2023

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EviewsR: An R Package for Dynamic and Reproducible Research Using EViews, R, R Markdown and Quarto

The R journal, 2023-06, Vol.15 (2), p.169-205

2023

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Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach

International journal of environmental research and public health, 2022-01, Vol.19 (2), p.738

2022

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Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling

Applied soft computing, 2022-01, Vol.114, p.108036, Article 108036

2022

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New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia

Ecological informatics, 2022-09, Vol.70, p.101696, Article 101696

2022

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Transfer learning for streamflow forecasting using unguaged MOPEX basins data set

Earth science informatics, 2023-06, Vol.16 (2), p.1241-1264

2023

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Wastewater treatment plant performance analysis using artificial intelligence - an ensemble approach

Multi-step ahead modelling of river water quality parameters using ensemble artificial intelligence-based approach

Flash-Flood Susceptibility Assessment Using Multi-Criteria Decision Making and Machine Learning Supported by Remote Sensing and GIS Techniques

Optimization and prediction of tribological behaviour of filled polytetrafluoroethylene composites using Taguchi Deng and hybrid support vector regression models

Effects of Seawater Intrusion on the Groundwater Quality of Multi-Layered Aquifers in Eastern Saudi Arabia

Integrated Hydrogeological, Hydrochemical, and Isotopic Assessment of Seawater Intrusion into Coastal Aquifers in Al-Qatif Area, Eastern Saudi Arabia

A Novel Multi-model Data-Driven Ensemble Technique for the Prediction of Retention Factor in HPLC Method Development

Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination

Simulation for response surface in the HPLC optimization method development using artificial intelligence models: A data-driven approach

Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series

Groundwater level prediction using machine learning models: A comprehensive review

Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation

Experimental Evaluation and Modeling of Polymer Nanocomposite Modified Asphalt Binder Using ANN and ANFIS

Flash-flood hazard using deep learning based on H2O R package and fuzzy-multicriteria decision-making analysis

Comparative implementation between neuro-emotional genetic algorithm and novel ensemble computing techniques for modelling dissolved oxygen concentration

Geochemical and Spatial Distribution of Topsoil HMs Coupled with Modeling of Cr Using Chemometrics Intelligent Techniques: Case Study from Dammam Area, Saudi Arabia

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

Assessment of climate change impact on probable maximum floods in a tropical catchment

An intelligent hybridized computing technique for the prediction of roadway traffic noise in urban environment

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

EviewsR: An R Package for Dynamic and Reproducible Research Using EViews, R, R Markdown and Quarto

Multi-Regional Modeling of Cumulative COVID-19 Cases Integrated with Environmental Forest Knowledge Estimation: A Deep Learning Ensemble Approach

Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling

New generation neurocomputing learning coupled with a hybrid neuro-fuzzy model for quantifying water quality index variable: A case study from Saudi Arabia

Transfer learning for streamflow forecasting using unguaged MOPEX basins data set

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