ARTIFICIAL INTELLIGENCE-BASED THREAT PREDICTION SYSTEM AND METHOD FOR CBRN
Number of patents in Portfolio can not be more than 2000
United States of America Patent
Stats
-
N/A
Issued Date -
Jan 23, 2025
app pub date -
Nov 7, 2023
filing date -
Nov 7, 2023
priority date (Note) -
Published
status (Latency Note)
Importance
Abstract
An object of the present invention is to provide a system and a method for predicting Chemical, Biological, Radiological and Nuclear (CBRN) threatsj, which are more realistic and reliable by correcting actual sensor data measured in a given zone when a CBRN situation occurs or pollution diffusion and transfer and diffusion data for each time zone acquired by using a pollution diffusion prediction tool.
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