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Masoud Karbasi

Showing results (1-10 of 7) with videos related to

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Scientific Reports|October 6, 2021
Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigmsMasoud Karbasi, Mehdi Jamei, Iman Ahmadianfar, et al.
Environmental Science and Pollution Research International|May 21, 2022
Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, IndiaAnurag Malik, Yazid Tikhamarine, Parveen Sihag, et al.
Environmental Science and Pollution Research International|February 24, 2025
Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithmsKhabat Khosravi, Aitazaz Ahsan Farooque, Masoud Karbasi, et al.
Journal of Environmental Management|September 24, 2021
The assessment of emerging data-intelligence technologies for modeling Mg<sup>+2</sup> and SO<sub>4</sub><sup>-2</sup> surface water qualityMehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, et al.
Scientific Reports|July 1, 2022
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of BangladeshMehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Scientific Reports|May 12, 2026
A deep complementary learning framework for surface water temperature forecastingMehdi Jamei, Saeid Mehdizadeh, Mumtaz Ali, et al.
Scientific Reports|July 1, 2024
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithmMasoud Karbasi, Mumtaz Ali, Sayed M Bateni, et al.
Pageof 1

Showing results (1-10 of 7) with videos related to

Sort By:
Pageof 1
Scientific Reports|October 6, 2021
Toward the accurate estimation of elliptical side orifice discharge coefficient applying two rigorous kernel-based data-intelligence paradigmsMasoud Karbasi, Mehdi Jamei, Iman Ahmadianfar, et al.
Environmental Science and Pollution Research International|May 21, 2022
Predicting daily soil temperature at multiple depths using hybrid machine learning models for a semi-arid region in Punjab, IndiaAnurag Malik, Yazid Tikhamarine, Parveen Sihag, et al.
Environmental Science and Pollution Research International|February 24, 2025
Enhanced water quality prediction model using advanced hybridized resampling alternating tree-based and deep learning algorithmsKhabat Khosravi, Aitazaz Ahsan Farooque, Masoud Karbasi, et al.
Journal of Environmental Management|September 24, 2021
The assessment of emerging data-intelligence technologies for modeling Mg<sup>+2</sup> and SO<sub>4</sub><sup>-2</sup> surface water qualityMehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, et al.
Scientific Reports|July 1, 2022
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of BangladeshMehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Scientific Reports|May 12, 2026
A deep complementary learning framework for surface water temperature forecastingMehdi Jamei, Saeid Mehdizadeh, Mumtaz Ali, et al.
Scientific Reports|July 1, 2024
Multi-step ahead forecasting of electrical conductivity in rivers by using a hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) model enhanced by Boruta-XGBoost feature selection algorithmMasoud Karbasi, Mumtaz Ali, Sayed M Bateni, et al.
Pageof 1