4 citations · 4 across the 4 of their papers we have counts for
4 papers
Image-based Detection of Segment Misalignment in Multi-mirror Satellites using Transfer Learning
C. Tanner Fredieu, Jonathan Tesch, Andrew Kee +1
In this paper, we introduce a system based on transfer learning for detecting segment misalignment in multimirror satellites, such as future CubeSat designs and the James Webb Spac…
Investigating Continuous Learning in Spiking Neural Networks
C. Tanner Fredieu
In this paper, the use of third-generation machine learning, also known as spiking neural network architecture, for continuous learning was investigated and compared to conventiona…
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
C. Tanner Fredieu, Anthony Martone, R. Michael Buehrer
In this paper, we examine the use of a deep multi-layer perceptron architecture to classify received signals as one of seven common waveforms, single carrier (SC), single-carrier f…
Classification of Common Waveforms Including a Watchdog for Unknown Signals
C. Tanner Fredieu, Justin Bui, Anthony Martone +3
In this paper, we examine the use of a deep multi-layer perceptron model architecture to classify received signal samples as coming from one of four common waveforms, Single Carrie…