GitHub

AROS-S — Autonomous Real-time On-board Security for Satellites

I built AROS-S because defending a satellite from the ground doesn't really work in real time. By the time suspicious telemetry reaches a ground station and someone reacts, the hardware could already ...
Frontiers

Emotion estimation from video footage with LSTM

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...
GitHub

Attributions for ML-based ICS Anomaly Detection

This repository contains code for the paper: "Attributions for ML-based ICS anomaly detection: From theory to practice", to appear at the 31st Network and Distributed System Security Symposium (NDSS ...
PNAS

Reversible molecular simulation for training classical and machine-learning force fields

The success of a molecular dynamics simulation depends on the accuracy of the force field used to define the atomic interactions. It is challenging to train both classical and modern machine-learning ...
Frontiers

Designing a TPMS metamaterial via deep learning and topology optimization

Data-driven models that act as surrogates for computationally costly 3D topology optimization techniques are very popular because they help alleviate multiple time-consuming 3D finite element analyses ...
C&EN

Multiple Sequence Long and Short Memory Network Model for Corner Gas Concentration Prediction on Coal Mine Workings

State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines, Anhui University of Science and Technology, Huainan232001, China College of Safety Science and ...