Masoud Karbasi
Orcid: 0000-0002-9012-8280
According to our database1,
Masoud Karbasi
authored at least 15 papers
between 2018 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
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
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
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
A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups.
Eng. Comput., 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
2019
Development of a novel soft-computing framework for the simulation aims: a case study.
Eng. Comput., 2019
2018
Eng. Comput., 2018