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Phenax is an open source framework to test Android applications whether they are malicious or not. Using a tool called GroddDroid and machine learning algorithms this framework repeatedly runs a number of goodware and malware applications forcing a different execution path in each application in each run.
A Python codebase to analyze TEM images of soot, which includes new methods associated with this project and a compilation of other pre-existing methods into a single package.
This is the code for the final Streamlit UI with NASA SOOT data conversion and interactive graphing capabilities. The code was developed by three undergraduates at Loyola University Chicago (Grant Bailey, Maggie Gonzalez, Greyson Willhite) as part of a data science project on NASA SOOT data conversion and graphing.