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Researcher
- Mingyan Li
- Sam Hollifield
- Stephen M Killough
- Brian Weber
- Bryan Maldonado Puente
- Corey Cooke
- Diana E Hun
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- Isaac Sikkema
- Joseph Olatt
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- Mahim Mathur
- Mary A Adkisson
- Nolan Hayes
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- Peter Wang
- Philip Boudreaux
- Ryan Kerekes
- Sally Ghanem
- T Oesch

This invention utilizes new techniques in machine learning to accelerate the training of ML-based communication receivers.

Real-time tracking and monitoring of radioactive/nuclear materials during transportation is a critical need to ensure safety and security. Current technologies rely on simple tagging, using sensors attached to transport containers, but they have limitations.

Current technology for heating, ventilation, and air conditioning (HVAC) and other uses such as vending machines rely on refrigerants that have high global warming potential (GWP).

Current fuel used in nuclear light water reactors that generate energy for the grid use a solid form of uranium that is heated and processed to form pellets.

Technologies for optimizing prefab retrofit panel installation using a real-time evaluator is described.