Halit Apaydın

Comparative Analysis of Recurrent Neural Network Architectures for Reservoir Inflow Forecasting

Halit Apaydın, Hajar Feizi, Mohammad Taghi Sattari et al. · Water · 2020 · 280 citations · Full text

Hydrological Prediction, Engineering, Machine Learning +24

Artificial intelligence modelling integrated with Singular Spectral analysis and Seasonal-Trend decomposition using Loess approaches for streamflow predictions

Halit Apaydın, Mohammad Taghi Sattari, Kambiz Falsafian et al. · Journal of Hydrology · 2021 · 143 citations

Artificial Intelligence, Meteorology, Engineering +13

M5 model tree application in daily river flow forecasting in Sohu Stream, Turkey

Mohammad Taghi Sattari, Mahesh Pal, Halit Apaydın et al. · Water Resources · 2013 · 95 citations

Comparative analysis of kernel-based versus ANN and deep learning methods in monthly reference evapotranspiration estimation

Mohammad Taghi Sattari, Halit Apaydın, Shahab S. Band et al. · Hydrology and earth system sciences · 2021 · 86 citations · Full text

Environmental Monitoring, Machine Learning, Engineering +19

Performance Evaluation of Deep Learning-Based Gated Recurrent Units (GRUs) and Tree-Based Models for Estimating ETo by Using Limited Meteorological Variables

Mohammad Taghi Sattari, Halit Apaydın, Shahaboddin Shamshirband · Mathematics · 2020 · 66 citations · Full text

Precision Agriculture, Engineering, Machine Learning +23