Available Technologies
# of Displayed Technologies: 3 / 3
Applied Category Filter (Click To Remove): Algorithms
A Novel Machine Learning Approach for Classification at the Network Edge
TS-073225 —
In today's world, we are increasingly using low-cost devices with limited resources (often referred to as "edge devices") which are supported by connected high-performance servers. However, these edge devices often can't handle complex tasks such as classifying data. To make this possible, we need…
- College: College of Engineering (COE)
- Inventors: Li, Chengzhang; Eryilmaz, Atilla; Ju, Peizhong; Shroff, Ness
- Licensing Officer: Giles, David
Three-dimensional cellular automation codes for solidification microstructure and porosity simulation of multi-component alloys
TS-063911 —
Porosity formation during the solidification of aluminum-based alloys, induced by hydrogen gas and alloy shrinkage, presents a significant challenge for industries relying on high-performance solidification products such as castings, welds, and additively manufactured components. This issue advers…
- College: College of Engineering (COE)
- Inventors: Luo, Alan; Gu, Cheng
- Licensing Officer: Zinn, Ryan
Learning Optimal Empirical Reward iNtelligence (LOERN) with Cyber Maintenance Applications
TS-040341 — A software solution designed to optimize cyber security decision making and reduce maintenance costs.
As the world becomes more and more connected, our systems become more and more vulnerable. If cyber security can become more automated, risk-based decisions can be made more quickly and rationally. Organizations can then leverage this decision-making to improve their security without increasing co…
- College: College of Engineering (COE)
- Inventors: Allen, Theodore "Ted"; Hou, Chengjun
- Licensing Officer: Zinn, Ryan
