GitHub

Med-Noise-Cleanse (MRI Denoising with Hexagonal Architecture)

The Medical Image Denoising using Denoising Autoencoders in TensorFlow and Hexagonal Architecture project enhances medical image quality by removing noise using a Denoising Autoencoder (DAE) built ...
IEEE

Autoencoder-Augmented Graph Neural Networks for Accurate and Scalable Structure Recognition in Analog/Mixed-Signal Schematics

Abstract: The increasing complexity of Analog/Mixed-Signal (AMS) schematics has been posing significant challenges in structure recognition, particularly in the intellectual property (IP) industry, ...
IEEE

GTAE-IDS: Graph Transformer-Based Autoencoder Framework for Real-Time Network Intrusion Detection

Abstract: Network intrusion detection systems (NIDS) utilize signature and anomaly-based methods to detect malicious activities within networks. Advances in machine learning (ML) and deep learning (DL ...
GitHub

annguyenax/ton-iot-zero-day-ids

Detect unknown (zero-day) IoT attacks using unsupervised anomaly detection with deep autoencoders. Train only on normal traffic - no attack labels needed!