Mehdi Jamei
Orcid: 0000-0003-0847-887X
According to our database1,
Mehdi Jamei
authored at least 21 papers
between 2021 and 2024.
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Bibliography
2024
Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models.
Neural Comput. Appl., August, 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
Accurate monitoring of micronutrients in tilled potato soils of eastern Canada: Application of an eXplainable inspired-adaptive boosting framework coupled with SelectKbest.
Comput. Electron. Agric., January, 2024
Robust drought forecasting in Eastern Canada: Leveraging EMD-TVF and ensemble deep RVFL for SPEI index forecasting.
Expert Syst. Appl., 2024
Quantitative improvement of streamflow forecasting accuracy in the Atlantic zones of Canada based on hydro-meteorological signals: A multi-level advanced intelligent expert framework.
Ecol. Informatics, 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
Hybrid machine learning system based on multivariate data decomposition and feature selection for improved multitemporal evapotranspiration forecasting.
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
Empirical curvelet transform based deep DenseNet model to predict NDVI using RGB drone imagery data.
Comput. Electron. Agric., 2024
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
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
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
Neurocomputing, 2022
A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups.
Eng. Comput., 2022
Intelligent prediction of rock mass deformation modulus through three optimized cascaded forward neural network models.
Earth Sci. Informatics, 2022
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer.
Comput. Electron. Agric., 2022
Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection.
Comput. Electron. Agric., 2022
2021
Total Dissolved Salt Prediction Using Neurocomputing Models: Case Study of Gypsum Soil Within Iraq Region.
IEEE Access, 2021