A wavelet-ANFIS hybrid model for groundwater level forecasting for different prediction periods V Moosavi, M Vafakhah, B Shirmohammadi, N Behnia Water resources management 27, 1301-1321, 2013 | 250 | 2013 |
Application of several data-driven techniques for predicting groundwater level B Shirmohammadi, M Vafakhah, V Moosavi, A Moghaddamnia Water Resources Management 27, 419-432, 2013 | 167 | 2013 |
Producing a landslide inventory map using pixel-based and object-oriented approaches optimized by Taguchi method V Moosavi, A Talebi, B Shirmohammadi Geomorphology 204, 646-656, 2014 | 156 | 2014 |
Development of hybrid wavelet packet-statistical models (WP-SM) for landslide susceptibility mapping V Moosavi, Y Niazi Landslides 13, 97-114, 2016 | 113 | 2016 |
Forecasting of meteorological drought using Wavelet-ANFIS hybrid model for different time steps (case study: southeastern part of east Azerbaijan province, Iran) B Shirmohammadi, H Moradi, V Moosavi, MT Semiromi, A Zeinali Natural hazards 69, 389-402, 2013 | 111 | 2013 |
Soil erosion assessment and prioritization of affecting factors at plot scale using the Taguchi method SH Sadeghi, V Moosavi, A Karami, N Behnia Journal of Hydrology 448, 174-180, 2012 | 103 | 2012 |
Data‐driven flood emulation: Speeding up urban flood predictions by deep convolutional neural networks Z Guo, JP Leitao, NE Simões, V Moosavi Journal of Flood Risk Management 14 (1), e12684, 2021 | 93 | 2021 |
A wavelet-artificial intelligence fusion approach (WAIFA) for blending Landsat and MODIS surface temperature V Moosavi, A Talebi, MH Mokhtari, SRF Shamsi, Y Niazi Remote Sensing of Environment 169, 243-254, 2015 | 83 | 2015 |
Optimization of wavelet-ANFIS and wavelet-ANN hybrid models by Taguchi method for groundwater level forecasting V Moosavi, M Vafakhah, B Shirmohammadi, M Ranjbar Arabian Journal for Science and Engineering 39, 1785-1796, 2014 | 74 | 2014 |
Gully erosion mapping using object-based and pixel-based image classification methods A Karami, A Khoorani, A Noohegar, SRF Shamsi, V Moosavi Environmental & Engineering Geoscience 21 (2), 101-110, 2015 | 43 | 2015 |
Estimation of suspended sediment load using regression trees and model trees approaches (Case study: Hyderabad drainage basin in Iran) A Talebi, J Mahjoobi, MT Dastorani, V Moosavi ISH journal of Hydraulic Engineering 23 (2), 212-219, 2017 | 39 | 2017 |
Fractional snow cover mapping from MODIS data using wavelet-artificial intelligence hybrid models V Moosavi, H Malekinezhad, B Shirmohammadi Journal of Hydrology 511, 160-170, 2014 | 38 | 2014 |
Development of a hybrid wavelet packet-group method of data handling (WPGMDH) model for runoff forecasting V Moosavi, A Talebi, MR Hadian Water Resources Management 31, 43-59, 2017 | 36 | 2017 |
Estimation of spatially enhanced soil moisture combining remote sensing and artificial intelligence approaches V Moosavi, A Talebi, MH Mokhtari, MR Hadian International Journal of Remote Sensing 37 (23), 5605–5631, 2016 | 28 | 2016 |
Which one is more important in daily runoff forecasting using data driven models: Input data, model type, preprocessing or data length? V Moosavi, ZG Fard, M Vafakhah Journal of Hydrology 606, 127429, 2022 | 26 | 2022 |
An automated python language-based tool for creating absence samples in groundwater potential mapping O Rahmati, DD Moghaddam, V Moosavi, Z Kalantari, M Samadi, S Lee, ... Remote Sensing 11 (11), 1375, 2019 | 25 | 2019 |
SOMPY: A python library for self organizing map (SOM) V Moosavi, S Packmann, I Vallés GitHub.[Online]. Available: https://github. com/sevamoo/SOMPY, 2014 | 23 | 2014 |
Assessing the health and ecological security of a human induced watershed in central Iran SH Sadeghi, M Vafakhah, V Moosavi, S Pourfallah Asadabadi, ... Ecosystem Health and Sustainability 8 (1), 2090447, 2022 | 18 | 2022 |
Combining group method of data handling with signal processing approaches to improve accuracy of groundwater level modeling V Moosavi, J Mahjoobi, M Hayatzadeh Natural Resources Research 30 (2), 1735-1754, 2021 | 15 | 2021 |
Sompy: A python library for self organizing map (som). GitHub V Moosavi, S Packmann, I Vallés | 14 | 2014 |