[HTML][HTML] Linguistic Explanations of Black Box Deep Learning Detectors on Simulated Aerial Drone Imagery

B Alvey, D Anderson, J Keller, A Buck - Sensors, 2023 - mdpi.com
Deep learning has become increasingly common in aerial imagery analysis. As its use
continues to grow, it is crucial that we understand and can explain its behavior. One …

Synthetic Dataset for Quadcopter Detection Based on Frequency Propeller Signature

MA Drouin, MA Rainville, M Picard… - 2023 IEEE Applied …, 2023 - ieeexplore.ieee.org
The use of computer graphic tools typically associated with video games is a popular
method to generate synthetic datasets for the training of machine learning algorithms. For …

Fuzzy Database for Language-Driven Procedurally Generated Simulated Datasets

E Visconti, DT Anderson, J Kerley - 2023 IEEE Applied Imagery …, 2023 - ieeexplore.ieee.org
Current generation artificial intelligence (AI) and machine learning (ML) heavily rely on data.
One way to address this bottleneck is through simulation. In previous work, we presented a …

Explosive hazard pre-screener based on simulated data with perfect annotation and imprecisely labeled real data

M Kovaleski, A Fuller, J Kerley, BJ Alvey… - Chemical …, 2022 - spiedigitallibrary.org
Datasets with accurate ground truth from unmanned aerial vehicles (UAV) are cost and time
prohibitive. This is a problem as most modern machine learning (ML) algorithms are based …