Comparative study of M5 model tree and artificial neural network in estimating reference evapotranspiration using MODIS products A Alipour, J Yarahmadi, M Mahdavi Journal of Climatology 2014 (1), 839205, 2014 | 40 | 2014 |
Validity and reliability of the Persian version of WATCH questionnaire in assessing the clinical learning environment H Nejatdarabi, M Amini, J Yarahmadi, P Bikineh, M Kaveh, H Gholampoor Biomed Res 29 (17), 50-55, 2018 | 2 | 2018 |
Use of Ensemble Methods for Improving Accuracy of Remotely Sensedderived Actual Evapotranspiration of Global Databases Case Study:(Karkheh Dam Watershed) J Yarahmadi, A Shamsoddini, M Delavar JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION 10 (3001674), 47-65, 2021 | 1 | 2021 |
Evaluation of temporal-spatial global terrestrial actual evapotranspiration data in Karkhe Dam Watershed J Yarahmadi, SM Mirlatifi, A Shamsoddini, M Delavar Watershed Engineering and Management 12 (4), 1024-1039, 2020 | 1 | 2020 |
Adjustment of Hargreaves equation by replacing land surface temperature instead of air temperature for estimating reference crop evapotranspiration J Yarahmadi, A Rahimikhoob Journal of Water and Soil Conservation 21 (6), 239-254, 2015 | 1 | 2015 |
Evaluation of empirical models in estimating reference evapotranspiration with MODIS LST data in Khuzestan J Yarahmadi, A Rahimi Khoob Watershed Engineering and Management 6 (2), 95-106, 2014 | | 2014 |
Research Article Comparative Study of M5 Model Tree and Artificial Neural Network in Estimating Reference Evapotranspiration Using MODIS Products A Alipour, J Yarahmadi, M Mahdavi | | |