标题/作者	年份
D-SRGAN: DEM super-resolution with generative adversarial networks BZ Demiray, M Sit, I Demir SN Computer Science 2 (1), 1-11	2021
Theory-guided deep-learning for electrical load forecasting (TgDLF) via ensemble long short-term memory Y Chen, D Zhang Advances in Applied Energy 1, 100004	2021
Real-time flood mapping on client-side web systems using hand model A Hu, I Demir Hydrology 8 (2), 65	2021
LamaH-CE: LArge-SaMple DAta for hydrology and environmental sciences for central Europe C Klingler, K Schulz, M Herrnegger Earth System Science Data 13 (9), 4529-4565	2021
Neural network attribution methods for problems in geoscience: A novel synthetic benchmark dataset A Mamalakis, I Ebert-Uphoff, EA Barnes Environmental Data Science 1	2022
Theory-guided hard constraint projection (HCP): A knowledge-based data-driven scientific machine learning method Y Chen, D Huang, D Zhang, J Zeng, N Wang, H Zhang, J Yan Journal of Computational Physics 445, 110624	2021
Realistic river image synthesis using deep generative adversarial networks A Gautam, M Sit, I Demir arXiv preprint arXiv:2003.00826	2020
Assessment of transportation system disruption and accessibility to critical amenities during flooding: Iowa case study Y Alabbad, J Mount, AM Campbell, I Demir Science of the total environment 793, 148476	2021
Fusing stacked autoencoder and long short-term memory for regional multistep-ahead flood inundation forecasts IF Kao, JY Liou, MH Lee, FJ Chang Journal of Hydrology 598, 126371	2021
Deep learning framework with time series analysis methods for runoff prediction Z Li, L Kang, L Zhou, M Zhu Water 13 (4), 575	2021
A regional semi-distributed streamflow model using deep learning Z Xiang, I Demir, R Mantilla, WF Krajewski EarthArxiv	2021
Integration of extreme gradient boosting feature selection approach with machine learning models: application of weather relative humidity prediction H Tao, SM Awadh, SQ Salih, SS Shafik, ZM Yaseen Neural Computing and Applications 34 (1), 515-533	2022
Short-term hourly streamflow prediction with graph convolutional gru networks M Sit, B Demiray, I Demir arXiv preprint arXiv:2107.07039	2021
Application of deep learning to large scale riverine flow velocity estimation M Forghani, Y Qian, J Lee, MW Farthing, T Hesser, PK Kitanidis, EF Darve Stochastic Environmental Research and Risk Assessment 35 (5), 1069-1088	2021
A Semantic Web Framework for Automated Smart Assistants: A Case Study for Public Health Y Sermet, I Demir Big Data and Cognitive Computing 5 (4), 57	2021
Buoyant jets in cross-flows: review, developments, and applications M Taherian, A Mohammadian Journal of Marine Science and Engineering 9 (1), 61	2021
How well do gridded precipitation and actual evapotranspiration products represent the key water balance components in the Nile Basin? I McNamara, OM Baez-Villanueva, A Zomorodian, S Ayyad, ... Journal of Hydrology: Regional Studies 37, 100884	2021
Multistep flood inundation forecasts with resilient backpropagation neural networks: Kulmbach case study Q Lin, J Leandro, S Gerber, M Disse Water 12 (12), 3568	2020
The Data Synergy Effects of Time‐Series Deep Learning Models in Hydrology K Fang, D Kifer, K Lawson, D Feng, C Shen Water Resources Research 58 (4), e2021WR029583	2022
A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting–A case study in the Awash River Basin (Ethiopia) J Quilty, J Adamowski Environmental Modelling & Software 144, 105119	2021

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