53 citations · 99 across the 8 of their papers we have counts for
9 papers
High-resolution rainfall-runoff modeling using graph neural network
Zhongrun Xiang, Ibrahim Demir
Time-series modeling has shown great promise in recent studies using the latest deep learning algorithms such as LSTM (Long Short-Term Memory). These studies primarily focused on w…
DEM Super-Resolution with EfficientNetV2
Bekir Z Demiray, Muhammed Sit, Ibrahim Demir
Efficient climate change monitoring and modeling rely on high-quality geospatial and environmental datasets. Due to limitations in technical capabilities or resources, the acquisit…
Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks
Muhammed Sit, Bekir Demiray, Ibrahim Demir
The frequency and impact of floods are expected to increase due to climate change. It is crucial to predict streamflow, consequently flooding, in order to prepare and mitigate its…
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
Muhammed Sit, Bong-Chul Seo, Ibrahim Demir
Effective environmental planning and management to address climate change could be achieved through extensive environmental modeling with machine learning and conventional physical…
A Semantic Web Framework for Automated Smart Assistants: COVID-19 Case Study
Yusuf Sermet, Ibrahim Demir
COVID-19 pandemic elucidated that knowledge systems will be instrumental in cases where accurate information needs to be communicated to a substantial group of people with differen…
A Comprehensive Review of Deep Learning Applications in Hydrology and Water Resources
Muhammed Sit, Bekir Z. Demiray, Zhongrun Xiang +3
The global volume of digital data is expected to reach 175 zettabytes by 2025. The volume, variety, and velocity of water-related data are increasing due to large-scale sensor netw…