53 citations · 63 across the 6 of their papers we have counts for
7 papers
Towards Generalized Hydrological Forecasting using Transformer Models for 120-Hour Streamflow Prediction
Bekir Z. Demiray, Ibrahim Demir
This study explores the efficacy of a Transformer model for 120-hour streamflow prediction across 125 diverse locations in Iowa, US. Utilizing data from the preceding 72 hours, inc…
Integrating Generative AI in Hackathons: Opportunities, Challenges, and Educational Implications
Ramteja Sajja, Carlos Erazo Ramirez, Zhouyayan Li +3
Hackathons have emerged as pivotal platforms in the software industry, driving both innovation and skill development for organizations and students alike. These events enable compa…
EfficientTempNet: Temporal Super-Resolution of Radar Rainfall
Bekir Z Demiray, Muhammed Sit, Ibrahim Demir
Rainfall data collected by various remote sensing instruments such as radars or satellites has different space-time resolutions. This study aims to improve the temporal resolution…
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…
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…
D-SRGAN: DEM Super-Resolution with Generative Adversarial Networks
Bekir Z Demiray, Muhammed Sit, Ibrahim Demir
LIDAR (light detection and ranging) is an optical remote-sensing technique that measures the distance between sensor and object, and the reflected energy from the object. Over the…