SBIR/STTR Research Award
Automated Pattern Recognition Methods to Identify Nuclear Explosions
Award amount
$991,917Program and phase
SBIR · Phase IIAward year
2020Award details
- Awarding agency
- Department of Defense
- Branch
- Defense Threat Reduction Agency
- Recipient company
- Acorn Science & Innovation, Inc.
- Proposal award date
- 2020-09-15
- Contract end date
- 2022-09-14
- UEI
- KD5XWKQNUWY9
- Solicitation number
- 18.2
- Topic code
- DTRA182-005
Research abstract
We propose a multi-step approach to event classification using machine learning based on convolutional neural networks for noise reduction, improved phase picking and combined new and legacy features.
Technology keywords
Not reported
Other awards by this recipient
Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
- Automated pattern recognition methods to identify nuclear explosions
- Mid Frequency Active Sonobuoy
- Variable Depth Extrinsic Faber-Perot Interferometer (EFPI) Vector Sensor Arrays
Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.
- A Deep Learning Approach for Enhanced Identification of Nuclear Explosions
- A Deep Learning Approach for Enhanced Discrimination of Nuclear Weapons Testing
Research funding history
4 SBIR/STTR records share this UEI (2016–2020). Reported award amounts total $2,563,922. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Defense