| On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach M Jamei, I Ahmadianfar, IA Olumegbon, M Karbasi, A Asadi Journal of Energy Storage 33, 102067, 2021 | 100 | 2021 |
| Forecasting of multi-step ahead reference evapotranspiration using wavelet-Gaussian process regression model M Karbasi Water resources management 32, 1035-1052, 2018 | 97 | 2018 |
| Developing GPR model for forecasting the rock fragmentation in surface mines W Gao, M Karbasi, M Hasanipanah, X Zhang, J Guo Engineering with Computers 34, 339-345, 2018 | 96 | 2018 |
| Application of Gaussian process regression to forecast multi-step ahead SPEI drought index P Ghasemi, M Karbasi, AZ Nouri, MS Tabrizi, HM Azamathulla Alexandria Engineering Journal 60 (6), 5375-5392, 2021 | 81 | 2021 |
| Simulation of seepage flow through embankment dam by using a novel extended Kalman filter based neural network paradigm: Case study of Fontaine Gazelles Dam, Algeria I Rehamnia, B Benlaoukli, M Jamei, M Karbasi, A Malik Measurement 176, 109219, 2021 | 80 | 2021 |
| Application of Gaussian process regression model to predict discharge coefficient of Gated Piano Key Weir M Akbari, F Salmasi, H Arvanaghi, M Karbasi, D Farsadizadeh Water Resources Management 33, 3929-3947, 2019 | 71 | 2019 |
| On the thermal conductivity assessment of oil-based hybrid nanofluids using extended kalman filter integrated with feed-forward neural network M Jamei, IA Olumegbon, M Karbasi, I Ahmadianfar, A Asadi, ... International Journal of Heat and Mass Transfer 172, 121159, 2021 | 66 | 2021 |
| On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective–A comprehensive assessment of data analysis techniques M Jamei, I Ahmadianfar, IA Olumegbon, A Asadi, M Karbasi, Z Said, ... International Communications in Heat and Mass Transfer 123, 105217, 2021 | 66 | 2021 |
| Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods M Jamei, M Karbasi, IA Olumegbon, M Mosharaf-Dehkordi, I Ahmadianfar, ... Journal of Molecular Liquids 335, 116434, 2021 | 64 | 2021 |
| Prediction of flyrock induced by mine blasting using a novel kernel-based extreme learning machine M Jamei, M Hasanipanah, M Karbasi, I Ahmadianfar, S Taherifar Journal of Rock Mechanics and Geotechnical Engineering 13 (6), 1438-1451, 2021 | 63 | 2021 |
| Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer M Karbasi, M Jamei, M Ali, A Malik, ZM Yaseen Computers and Electronics in Agriculture 198, 107121, 2022 | 60 | 2022 |
| Application of a modern multi-level ensemble approach for the estimation of critical shear stress in cohesive sediment mixture UK Singh, M Jamei, M Karbasi, A Malik, M Pandey Journal of Hydrology 607, 127549, 2022 | 60 | 2022 |
| Assessment of scouring around spur dike in cohesive sediment mixtures: A comparative study on three rigorous machine learning models M Pandey, M Jamei, I Ahmadianfar, M Karbasi, AS Lodhi, X Chu Journal of Hydrology 606, 127330, 2022 | 59 | 2022 |
| GEP to predict characteristics of a hydraulic jump over a rough bed M Karbasi, HM Azamathulla KSCE Journal of Civil Engineering 20 (7), 3006-3011, 2016 | 59 | 2016 |
| Prediction of maximum scour depth near spur dikes in uniform bed sediment using stacked generalization ensemble tree-based frameworks M Pandey, M Jamei, M Karbasi, I Ahmadianfar, X Chu Journal of Irrigation and Drainage Engineering 147 (11), 04021050, 2021 | 57 | 2021 |
| Development of a novel soft-computing framework for the simulation aims: a case study W Gao, M Karbasi, AM Derakhsh, A Jalili Engineering with Computers 35, 315-322, 2019 | 53 | 2019 |
| Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh M Jamei, M Karbasi, A Malik, L Abualigah, ARMT Islam, ZM Yaseen Scientific Reports 12 (1), 11165, 2022 | 50 | 2022 |
| Estimating the density of hybrid nanofluids for thermal energy application: Application of non-parametric and evolutionary polynomial regression data-intelligent techniques M Jamei, M Karbasi, M Mosharaf-Dehkordi, IA Olumegbon, L Abualigah, ... Measurement 189, 110524, 2022 | 48 | 2022 |
| Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression … A Malik, M Jamei, M Ali, R Prasad, M Karbasi, ZM Yaseen Agricultural Water Management 272, 107812, 2022 | 46 | 2022 |
| Designing a multi-stage expert system for daily ocean wave energy forecasting: A multivariate data decomposition-based approach M Jamei, M Ali, M Karbasi, Y Xiang, I Ahmadianfar, ZM Yaseen Applied Energy 326, 119925, 2022 | 43 | 2022 |
Mehdi Jamei, PhDPostDoc Research Associate, University of Prince Edward Island, CanadaVerificeret mail på shhut.ac.ir
