Masoud Karbasi
Orcid: 0000-0002-9012-8280
According to our database1,
Masoud Karbasi
authored at least 18 papers
between 2018 and 2025.
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Bibliography
2025
Advancing long-term precipitation pattern forecasting in Atlantic Canada using successive variational mode decomposition, recursive LSTM, and graph-based feature selection.
Ecol. Informatics, 2025
Meticulous estimation of maize actual evapotranspiration: A comprehensive explainable CatBoost algorithm reinforced with Jackknife uncertainty paradigm.
Comput. Electron. Agric., 2025
eXplainable expert systems for potato tuber yield prediction in the Maritime provinces of Canada.
Comput. Electron. Agric., 2025
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