Zaher Mundher Yaseen
Orcid: 0000-0003-3647-7137
According to our database1,
Zaher Mundher Yaseen
authored at least 69 papers
between 2016 and 2024.
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Bibliography
2024
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
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
2023
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
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
2022
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
Neurocomputing, 2022
Designing new hybrid artificial intelligence model for CFST beam flexural performance prediction.
Eng. Comput., 2022
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
2021
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
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
2020
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
2019
System Dynamics Modeling Strategy for Civil Construction Projects: The Concept of Successive Legislation Periods.
Symmetry, 2019
Neural Comput. Appl., 2019
Eng. Comput., 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
2018
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
2017
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
2016
Neural Comput. Appl., 2016