This project trains an autoencoder-based anomaly detector on IoT network traffic. The centralized pipeline trains on benign traffic only, then evaluates anomalies ...
基于深度学习的图像去噪应用，尝试了 CNN、AutoEncoder、U-Net 与 U-Net Residual 四种网络结构，并加入传统高斯滤波作为 baseline ...
Project update – Autoencoder for RF Anomaly Detection Last week I posted about a new autoencoder project I was working on. I’m excited to say the project is now complete! It's been a great experience ...
Final Year Project Exhibition (2025-2026)done 👏👏👏at Brunel Software Innovation 🎓 Worked on satellite image 🛰️📡 compression using a CNN-based autoencoder, enhanced with calculus-based features ...
Abstract: Today, web applications face challenges arising from situations that cannot be recognized using existing rule-based web application firewalls. The current techniques lack flexibility, have ...
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