Anomaly-NIDS-Project/ ├── data/ # Raw and processed dataset (ignored in Git) ├── models/ # Saved models and training checkpoints ├── scripts/ # Python scripts for training, evaluation, detection │ ├── ...

This project explores autoencoders, a class of neural networks used for unsupervised learning. Specifically, we focus on using autoencoders to remove noise from images and restore corrupted images. We ...

TinyML is an incredibly powerful piece of software, and you can easily train your own model and deploy it on an ESP32.

Abstract: Fiber orientation distributions (FODs) are widely used in connectome analysis based on diffusion MRI. Spherical har-monics (SPHARMs) are often used for the efficient repre-sentation of FODs; ...

Abstract: With the rapid growth of electric vehicle (EV) adoption, ensuring the reliability and safety of their battery systems is of significant importance. Current anomaly detection methods, which ...