HydroRTC: A web-based data transfer and communication library for collaborative data processing and sharing in the hydrological domain
The exponential growth in data generated by satellites, radars, sensors, and analysis and
reanalysis from model outputs for the hydrological domain requires efficient real-time data …
reanalysis from model outputs for the hydrological domain requires efficient real-time data …
HydroCompute: An open-source web-based computational library for hydrology and environmental sciences
We present HydroCompute, a high-performance client-side computational library specifically
designed for web-based hydrological and environmental science applications. Leveraging …
designed for web-based hydrological and environmental science applications. Leveraging …
Augmentation and Extrapolation of Streamflow and Rainfall Datasets Using Deep Learning
M Sit - 2023 - search.proquest.com
The literature on deep learning applications for hydrologic research could be broadly
summarized as repeated usage of the similar deep learning architectures for new regions …
summarized as repeated usage of the similar deep learning architectures for new regions …
An Integrated Flood Impact Assessment Framework for Mitigation and Decision Support Systems
Y Alabbad - 2023 - search.proquest.com
Flooding is one of the most prevalent types of natural disasters affecting communities
worldwide. It is expected to persist with increasing magnitude and frequency due to climate …
worldwide. It is expected to persist with increasing magnitude and frequency due to climate …
Advances in AI, cyber systems, and data-driven techniques for large-scale flood mapping
Z Li - 2024 - search.proquest.com
Floods rank among the most devastating natural disasters, challenging humanity for over a
millennium. Recent advancements in physical sciences have significantly enhanced our …
millennium. Recent advancements in physical sciences have significantly enhanced our …