Zaher Mundher Yaseen

Orcid: 0000-0003-3647-7137

According to our database1, Zaher Mundher Yaseen authored at least 73 papers between 2016 and 2024.

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PhD thesis 


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Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: Hybridization of ensemble TVF-EMD-VMD, Boruta-SHAP, and eXplainable GPR.
Expert Syst. Appl., March, 2024

Integrated dynamic multi-threshold pattern recognition with graph attention long short-term neural memory network for water distribution network losses prediction: An automated expert system.
Eng. Appl. Artif. Intell., January, 2024

Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions.
Eng. Appl. Artif. Intell., 2024

Development of optimized machine learning models for predicting flat plate solar collectors thermal efficiency associated with Al2O3-water nanofluids.
Eng. Appl. Artif. Intell., 2024

Short-term drought Index forecasting for hot and semi-humid climate Regions: A novel empirical Fourier decomposition-based ensemble Deep-Random vector functional link strategy.
Comput. Electron. Agric., 2024

Deep learning and tree-based models for earth skin temperature forecasting in Malaysian environments.
Appl. Soft Comput., 2024

New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition.
Artif. Intell. Rev., 2024

An approach for total organic carbon prediction using convolutional neural networks optimized by differential evolution.
Neural Comput. Appl., October, 2023

An enhanced donkey and smuggler optimization algorithm for choosing the precise job applicant.
Iran J. Comput. Sci., September, 2023

A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm.
Expert Syst. Appl., July, 2023

Awareness requirement and performance management for adaptive systems: a survey.
J. Supercomput., June, 2023

Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach.
Eng. Appl. Artif. Intell., May, 2023

A high dimensional features-based cascaded forward neural network coupled with MVMD and Boruta-GBDT for multi-step ahead forecasting of surface soil moisture.
Eng. Appl. Artif. Intell., April, 2023

Comparison of different optimized machine learning algorithms for daily river flow forecasting.
Earth Sci. Informatics, March, 2023

Neurocomputing intelligence models for lakes water level forecasting: a comprehensive review.
Neural Comput. Appl., 2023

A novel intelligent deep learning predictive model for meteorological drought forecasting.
J. Ambient Intell. Humaniz. Comput., 2023

Development of a hybrid computational intelligent model for daily global solar radiation prediction.
Expert Syst. Appl., 2023

Development of wavelet-based Kalman Online Sequential Extreme Learning Machine optimized with Boruta-Random Forest for drought index forecasting.
Eng. Appl. Artif. Intell., 2023

Earth skin temperature long-term prediction using novel extended Kalman filter integrated with Artificial Intelligence models and information gain feature selection.
Sustain. Comput. Informatics Syst., 2022

Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction.
Neural Comput. Appl., 2022

Multi-strategy Slime Mould Algorithm for hydropower multi-reservoir systems optimization.
Knowl. Based Syst., 2022

Improved Permeability Prediction of Porous Media by Feature Selection and Machine Learning Methods Comparison.
J. Comput. Civ. Eng., 2022

Groundwater level prediction using machine learning models: A comprehensive review.
Neurocomputing, 2022

Designing new hybrid artificial intelligence model for CFST beam flexural performance prediction.
Eng. Comput., 2022

Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem.
CoRR, 2022

Integration of Multiple Models with Hybrid Artificial Neural Network-Genetic Algorithm for Soil Cation-Exchange Capacity Prediction.
Complex., 2022

Establishment of Dynamic Evolving Neural-Fuzzy Inference System Model for Natural Air Temperature Prediction.
Complex., 2022

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer.
Comput. Electron. Agric., 2022

The viability of extended marine predators algorithm-based artificial neural networks for streamflow prediction.
Appl. Soft Comput., 2022

Ranked-based mechanism-assisted Biogeography optimization: Application of global optimization problems.
Adv. Eng. Softw., 2022

Student Performance Predictions for Advanced Engineering Mathematics Course With New Multivariate Copula Models.
IEEE Access, 2022

Grasshopper Optimization Algorithm With Crossover Operators for Feature Selection and Solving Engineering Problems.
IEEE Access, 2022

Designing Low-Cost Capacitive-Based Soil Moisture Sensor and Smart Monitoring Unit Operated by Solar Cells for Greenhouse Irrigation Management.
Sensors, 2021

An empirical estimation for time and memory algorithm complexities: newly developed R package.
Multim. Tools Appl., 2021

Improving streamflow prediction using a new hybrid ELM model combined with hybrid particle swarm optimization and grey wolf optimization.
Knowl. Based Syst., 2021

An intelligent evolutionary extreme gradient boosting algorithm development for modeling scour depths under submerged weir.
Inf. Sci., 2021

Reliability-based structural design optimization: hybridized conjugate mean value approach.
Eng. Comput., 2021

Permeability prediction of porous media using a combination of computational fluid dynamics and hybrid machine learning methods.
Eng. Comput., 2021

Proposition of New Metaphor-Less Algorithms for Reservoir Operation.
Complex., 2021

Optimized Adaptive Neuro-Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction.
Complex., 2021

Hybridized Deep Learning Model for Perfobond Rib Shear Strength Connector Prediction.
Complex., 2021

Modeling soil temperature using air temperature features in diverse climatic conditions with complementary machine learning models.
Comput. Electron. Agric., 2021

Dual Water Choices: The Assessment of the Influential Factors on Water Sources Choices Using Unsupervised Machine Learning Market Basket Analysis.
IEEE Access, 2021

Emerging Technologies of Deep Learning Models Development for Pavement Temperature Prediction.
IEEE Access, 2021

Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region.
IEEE Access, 2021

Proposition of New Ensemble Data-Intelligence Models for Surface Water Quality Prediction.
IEEE Access, 2021

Non-gradient probabilistic Gaussian global-best harmony search optimization for first-order reliability method.
Eng. Comput., 2020

Shear strength of SFRCB without stirrups simulation: implementation of hybrid artificial intelligence model.
Eng. Comput., 2020

An evolutionary optimized artificial intelligence model for modeling scouring depth of submerged weir.
Eng. Appl. Artif. Intell., 2020

Hybridized Extreme Learning Machine Model with Salp Swarm Algorithm: A Novel Predictive Model for Hydrological Application.
Complex., 2020

Application of novel data mining algorithms in prediction of discharge and end depth in trapezoidal sections.
Comput. Electron. Agric., 2020

Modeling wetted areas of moisture bulb for drip irrigation systems: An enhanced empirical model and artificial neural network.
Comput. Electron. Agric., 2020

A Newly Developed Integrative Bio-Inspired Artificial Intelligence Model for Wind Speed Prediction.
IEEE Access, 2020

Metaheuristic Optimization Algorithms Hybridized With Artificial Intelligence Model for Soil Temperature Prediction: Novel Model.
IEEE Access, 2020

Global Solar Radiation Estimation and Climatic Variability Analysis Using Extreme Learning Machine Based Predictive Model.
IEEE Access, 2020

The Capacity of the Hybridizing Wavelet Transformation Approach With Data-Driven Models for Modeling Monthly-Scale Streamflow.
IEEE Access, 2020

Deep Learning Data-Intelligence Model Based on Adjusted Forecasting Window Scale: Application in Daily Streamflow Simulation.
IEEE Access, 2020

Modern Artificial Intelligence Model Development for Undergraduate Student Performance Prediction: An Investigation on Engineering Mathematics Courses.
IEEE Access, 2020

System Dynamics Modeling Strategy for Civil Construction Projects: The Concept of Successive Legislation Periods.
Symmetry, 2019

A hybrid bat-swarm algorithm for optimizing dam and reservoir operation.
Neural Comput. Appl., 2019

Limited descent-based mean value method for inverse reliability analysis.
Eng. Comput., 2019

GuessCompx: An empirical complexity estimation in R.
CoRR, 2019

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq.
Comput. Electron. Agric., 2019

Implementation of Univariate Paradigm for Streamflow Simulation Using Hybrid Data-Driven Model: Case Study in Tropical Region.
IEEE Access, 2019

Non-Linear Input Variable Selection Approach Integrated With Non-Tuned Data Intelligence Model for Streamflow Pattern Simulation.
IEEE Access, 2019

A Comparison Between Reconstruction Methods for Generation of Synthetic Time Series Applied to Wind Speed Simulation.
IEEE Access, 2019

Pressure Vessel Design Simulation: Implementing of Multi-Swarm Particle Swarm Optimization.
Proceedings of the 8th International Conference on Software and Computer Applications, 2019

Non-tuned machine learning approach for hydrological time series forecasting.
Neural Comput. Appl., 2018

Survey of different data-intelligent modeling strategies for forecasting air temperature using geographic information as model predictors.
Comput. Electron. Agric., 2018

Predicting compressive strength of lightweight foamed concrete using extreme learning machine model.
Adv. Eng. Softw., 2018

Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia.
Neural Comput. Appl., 2017

RBFNN-based model for heavy metal prediction for different climatic and pollution conditions.
Neural Comput. Appl., 2017

RBFNN versus FFNN for daily river flow forecasting at Johor River, Malaysia.
Neural Comput. Appl., 2016