Currently, the traffic speed prediction model based on deep learning has become a research hotspot in the field of transportation. With the rapid development of deep learning and the improvement of ...

A new Endpoint Detection and Response (EDR) killer that is considered to be the evolution of 'EDRKillShifter,' developed by RansomHub, has been observed in attacks by eight different ransomware gangs.

Microsoft unveils Project Ire, an autonomous AI system that reverse-engineers software to detect and block malware without human input.

🛡️ Malware Detection Using Machine Learning 📌 Project Overview This project implements a graph‑based machine learning framework to detect malware in Windows Portable Executable (PE) files.

TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, saving time and resources. A new open-sourced framework developed at the ...

The frequent global outbreaks of viral infectious diseases have significantly heightened the urgent demand for molecular testing at home. However, the labor-intensive sample preparation and nucleic ...

Machine learning (ML) provides a promising pathway to overcome these challenges by enabling efficient data processing and complex pattern recognition. This systematic Review aims to address these gaps ...

In this paper, we present both a binary and multiclass PE malware classification using four classic machine learning algorithms and four deep learning algorithms. We have applied this algorithm on ...

Malware Detection System using Machine Learning Malware is one of the most serious security threats on the Internet today. This project aims to build an intelligent system capable of detecting and ...

Our evaluation using a real radiotherapy treatment plan dataset shows that the autoencoder-based detection algorithm can achieve an AUC value of 0.9985, which is a maximum improvement of 41.77%, ...