| Applications of XGBoost in water resources engineering: A systematic literature review (Dec 2018–May 2023) M Niazkar, A Menapace, B Brentan, R Piraei, D Jimenez, P Dhawan, ... Environmental Modelling & Software 174, 105971, 2024 | 57 | 2024 |
| Assessment of XGBoost to estimate total sediment loads in rivers R Piraei, SH Afzali, M Niazkar Water Resources Management 37 (13), 5289-5306, 2023 | 33 | 2023 |
| A machine learning-based framework for water quality index estimation in the Southern Bug River A Masood, M Niazkar, M Zakwan, R Piraei Water 15 (20), 3543, 2023 | 20 | 2023 |
| Application of machine learning models to bridge afflux estimation R Piraei, M Niazkar, SH Afzali, A Menapace Water 15 (12), 2187, 2023 | 10 | 2023 |
| Drought analysis using innovative trend analysis and machine learning models for Eastern Black Sea Basin M Niazkar, R Piraei, G Eryılmaz Türkkan, T Hırca, F Gangi, SH Afzali Theoretical and Applied Climatology 155 (3), 1605-1624, 2024 | 9 | 2024 |
| Assessment of data-driven models for estimating total sediment discharge R Piraei, M Niazkar, SH Afzali Earth Science Informatics 16 (3), 2795-2812, 2023 | 5 | 2023 |
| Bias correction of ERA5-Land temperature data using standalone and ensemble machine learning models: a case of northern Italy M Niazkar, R Piraei, A Menapace, P Dhawan, DD Torre, M Larcher, ... Journal of Water and Climate Change 15 (1), 271-283, 2024 | 4 | 2024 |
| Application of machine learning models for short-term Drought Analysis based on Streamflow Drought Index M Niazkar, R Piraei, M Zakwan Water Resources Management, 1-18, 2024 | 2 | 2024 |
| Comparative Assessment of Machine Learning Models for Groundwater Quality Prediction Using Various Parameters M Niazkar, R Piraei, MR Goodarzi, MJ Abedi Environmental Processes 12 (1), 10, 2025 | | 2025 |
| Short-term drought forecast across two different climates using machine learning models R Piraei, M Niazkar, F Gangi, G Eryılmaz Türkkan, SH Afzali Hydrology 11 (10), 163, 2024 | | 2024 |
| New data-driven equation for estimating total sediment loads in rivers: application of the MHBMO algorithm R Piraei, M Niazkar, SH Afzali Acta Geophysica 72 (4), 2795-2814, 2024 | | 2024 |
| Comparative Analysis of Data-Driven Models for Predicting Total Sediment Discharge: A Case Study of Kor and Sivand Rivers in Iran R Piraei, N Talebbeydokhti The 14th National Congress of Civil Engineering, Zanjan, Iran, 2024 | | 2024 |
| Relative Humidity Prediction using XGBoost Machine Learning Model, Case Study: Bajgah Climatological Station, Iran R Piraei, A Mohammadi, SH Afzali Water Resources 17 (62), 40-53, 2024 | | 2024 |
| Assessment of Data-Driven Models for Estimating Relative Humidity, case study of Bajgah, Iran R Piraei, A Mohammadi, SH Afzali 9th.International Congress On Civil Engineering, Architecture & Urban …, 2024 | | 2024 |
| Application of Machine Learning Models to Bridge Afflux Estimation. Water 2023, 15, 2187 R Piraei, M Niazkar, SH Afzali, A Menapace | | 2023 |
Majid NiazkarEuro-Mediterranean Center on Climate Change (CMCC)Verificeret mail på cmcc.it