Systems and methods for real-time data processing and for emergency planning
Systems and methods are described herein for real-time data processing and for emergency planning. Scenario test data may be collected in real-time based on monitoring local or regional data to ascertain any anomaly phenomenon that may indicate an imminent danger or of concern. A computer-implemented method may include filtering a plurality of different test scenarios to identify a sub-set of test scenarios from the plurality of different test scenarios that may have similar behavior characteristics. A sub-set of test scenarios is provided to a trained neural network to identify one or more sub-set of test scenarios. The one or more identified sub-set of test scenarios may correspond to one or more anomaly test scenarios from the sub-set of test scenarios that is most likely to lead to an undesirable outcome. The neural network may be one of: a conventional neural network and a modular neural network.
- Research Organization:
- The Ohio State Univ., Columbus, OH (United States)
- Sponsoring Organization:
- USDOE
- DOE Contract Number:
- NE0008710
- Assignee:
- Ohio State Innovation Foundation (Columbus, OH)
- Patent Number(s):
- 11,720,091
- Application Number:
- 17/371,940
- OSTI ID:
- 2222082
- Resource Relation:
- Patent File Date: 07/09/2021
- Country of Publication:
- United States
- Language:
- English
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