Midcareer officer scholars from NPS used an unsupervised machine learning model for cluster analysis of synthetic battlefield emissions data provided by NATO. This approach helped extract meaningful connections from the sparse dataset by their interface called the Frequency-based Algorithm for Spatial and Temporal Clustering Analysis with Thresholds, or FASTCAT. (U.S. Navy photo by Mass Communication Specialist 2nd Class Janiel Adames)
| Date Taken: | 02.06.2026 |
| Date Posted: | 04.28.2026 15:52 |
| Photo ID: | 9646626 |
| VIRIN: | 260205-N-UT641-1003 |
| Resolution: | 6909x4606 |
| Size: | 7.29 MB |
| Location: | MONTEREY, CALIFORNIA, US |
| Web Views: | 2 |
| Downloads: | 0 |
This work, Decoding the Battlefield: NPS Students Develop Solution to Support Urgent U.S. and NATO Need [Image 3 of 3], by PO2 Janiel Adames, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Decoding the Battlefield: NPS Students Develop Solution to Support Urgent U.S. and NATO Need
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