Masoud Karbasi

According to our database, Masoud Karbasi authored at least 12 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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.

Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, Bakhtiar Karimi, Neshat Jahannemaei, Aitazaz Ahsan Farooque, Zaher Mundher Yaseen

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.

Mehdi Jamei, Mumtaz Ali, Hassan Afzaal, Masoud Karbasi, Anurag Malik, Aitazaz Ahsan Farooque, Zeeshan Haydar, Qamar U. Zaman

Comput. Electron. Agric., January, 2024

2023

A novel global solar exposure forecasting model based on air temperature: Designing a new multi-processing ensemble deep learning paradigm.

Mehdi Jamei, Masoud Karbasi, Mumtaz Ali, Anurag Malik, Xuefeng Chu, Zaher Mundher Yaseen

Expert Syst. Appl., July, 2023

Design data decomposition-based reference evapotranspiration forecasting model: A soft feature filter based deep learning driven approach.

Zihao Zheng, Mumtaz Ali, Mehdi Jamei, Yong Xiang, Masoud Karbasi, Zaher Mundher Yaseen, Aitazaz Ahsan Farooque

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.

Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, Ekta Sharma, Mozhdeh Jamei, Xuefeng Chu, Zaher Mundher Yaseen

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.

Mehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, Anurag Malik, Özgür Kisi, Zaher Mundher Yaseen

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.

Mehdi Jamei, Masoud Karbasi, Omer A. Alawi, Haslinda Mohamed Kamar, Khaled Mohamed Khedher, Sani Isah Abba, Zaher Mundher Yaseen

Sustain. Comput. Informatics Syst., 2022

A novel boosting ensemble committee-based model for local scour depth around non-uniformly spaced pile groups.

Iman Ahmadianfar, Mehdi Jamei, Masoud Karbasi, Ahmad Sharafati, Bahram Gharabaghi

Eng. Comput., 2022

Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer.

Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, Anurag Malik, Zaher Mundher Yaseen

Comput. Electron. Agric., 2022

Combined Terrestrial Evapotranspiration Index prediction using a hybrid artificial intelligence paradigm integrated with relief algorithm-based feature selection.

Mehdi Jamei, Ahmed Elbeltagi, Saman Maroufpoor, Masoud Karbasi, Mozhdeh Jamei, Mohammadnabi Jalali, Negin Najafzadeh

Comput. Electron. Agric., 2022

2019

Development of a novel soft-computing framework for the simulation aims: a case study.

Wei Gao, Masoud Karbasi, Ali Mahmodi Derakhsh, Ahmad Jalili

Eng. Comput., 2019

2018

Developing GPR model for forecasting the rock fragmentation in surface mines.

Wei Gao, Masoud Karbasi, Mahdi Hasanipanah, Xun Zhang, Jia Guo

Eng. Comput., 2018