News

How to build a robust Windows service to block malware and ransomware
Designing a security-focused Windows Service? Learn more from ThreatLocker about the core components for real-time monitoring ...
Que.com on MSN4d
Cybersecurity Weekly Recap: AI Malware and Zero-Click Exploit Threats
In an era of digitization, where data serves as the new gold, the cybersecurity landscape continues to evolve rapidly. Each ...
IEEE10d
Explainable Models to Interpret Malware Detection Using Agnostic Method
Abstract: Malware threats have been increasing ... and Principal Component Analysis (PCA) for Dimensionality Reduction. Then, the algorithms are trained using multiple machine learning algorithms such ...
IEEE11d
Review of Android Malware Detection Based on Deep Learning
It has posed a severe threat to cyberspace security because traditional detection methods have many limitations. With the widespread application of deep learning in recent years, the method of ...
Phys.org25d
Scientists are developing machine learning tools for improving particle accelerator operations
Now, scientists are using advanced computing techniques ... They then applied principal component analysis, an unsupervised machine learning technique, to analyze this data and help identify ...
Visual Studio Magazine26d
Predicting the Future Using Azure Machine Learning
"Azure Machine Learning lowers the barrier to entry even further by enabling even those without a data science background to build and deploy ... and deployment of models using MLOps best practices.
BMJ29d
Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey
Objectives This study aimed to employ machine learning algorithms to predict ... Data extraction took place using STATA V.18, after which the dataset was exported to Jupyter Notebook for more in-depth ...