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Minh Vu (left), SPY-1 engineer at Naval Surface Warfare Center, Port Hueneme Division (NSWC PHD) in California, and Jason Isaacs, computer science professor at California State University Channel Islands in Camarillo, stand together at NSWC PHD after a meeting on Feb. 9. They are collaborating on a project that taps machine learning to predict the need for maintenance on SPY-1 radars in the Navy fleet to improve radar readiness. (U.S. Navy photo by Eric Parsons/Released)
| Date Taken: | 02.09.2024 |
| Date Posted: | 08.09.2024 13:51 |
| Photo ID: | 8579234 |
| VIRIN: | 240209-N-SR235-1703 |
| Resolution: | 2000x1333 |
| Size: | 917.4 KB |
| Location: | PORT HUENEME, CALIFORNIA, US |
| Web Views: | 13 |
| Downloads: | 3 |
This work, Partnership With Professor Produces Model to Predict SPY-1 Radar Maintenance Needs for Navy Fleet [Image 2 of 2], by Jhon Parsons, identified by DVIDS, must comply with the restrictions shown on https://www.dvidshub.net/about/copyright.
Partnership With Professor Produces Model to Predict SPY-1 Radar Maintenance Needs for Navy Fleet
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