Search Results for author:
Found 3 papers, 0 papers with code
Investigating Continuous Learning in Spiking Neural Networks
All models were able to correctly identify the current classes, but they would immediately see a sharp performance drop in previous classes due to catastrophic forgetting.
Open-set Classification of Common Waveforms Using A Deep Feed-forward Network and Binary Isolation Forest Models
Results for the IF models showed an overall accuracy of 98% when detecting known and unknown signals with signal impairments present.
Classification of Common Waveforms Including a Watchdog for Unknown Signals
Synchronization of the signals is not needed as we assume there is an unknown and uncompensated time and frequency offset.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
