Rapid Deep Learning-Based Flood Losses/Risk Prediction Tool, Methods of Making and Uses Thereof
Number of patents in Portfolio can not be more than 2000
United States of America
Stats
-
N/A
Issued Date -
Feb 20, 2025
app pub date -
Aug 16, 2024
filing date -
Aug 16, 2024
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
In some cases, flood risk quantification computing systems and methods are computationally intensive and in some cases are inaccurate. A flood risk computing system and method are provided that quantifies a flood vulnerability within a specified area of interest, irrespective of flood event characteristics; estimates and maps a flood hazard probability; integrates the flood vulnerability and the flood hazard probability to quantify a flood risk; and develops a rapid flood risk software tool, stored in the memory, to directly quantify flood risk characteristics using deep learning. The rapid flood risk took using a plurality of hierarchical deep neural networks.
First Claim
Family
International Classification(s)
- [Classification Symbol]
- [Patents Count]
Cited Art Landscape
Patent Citation Ranking
Recipient Email Address
Recipient Email Address
Comment
Recipient Email Address
Add to Portfolio(s)
To add this patent to one, or more, of your portfolios, simply click the add button.
This Patent is in these Portfolios:
Add to additional portfolios:
Last Refreshed On:
Changes done successfully