Cybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, ...
With the rapid spread of digital content, doctored videos pose growing risks across media, security, and legal domains. A new ...
Sub-headline: BIT researchers introduce Malcom to tackle cross-domain encrypted traffic detection using self-supervised ...
ABSTRACT: The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant ...
ABSTRACT: The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant ...
[2025.09.12] 📄 🔓 The paper is officially released, together with full training and inference pipelines, enabling easy adoption and further research. SVG Autoencoder - Uses a frozen representation ...
Abstract: We introduce a new convolutional autoencoder architecture for user modeling and recommendation tasks with several improvements over the state of the art. First, our model has the flexibility ...
This repository contains the implementation, benchmarks, and supporting tools for my MSc dissertation project: Self-learning Variational Autoencoder for EEG Artifact Removal (Key code only). Benchmark ...
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