53 citations · 95 across the 9 of their papers we have counts for
3 papers · 1 filter
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…
Realistic River Image Synthesis using Deep Generative Adversarial Networks
Akshat Gautam, Muhammed Sit, Ibrahim Demir
In this paper, we demonstrated a practical application of realistic river image generation using deep learning. Specifically, we explored a generative adversarial network (GAN) mod…