Devdiscourse

Energy-hungry cybersecurity models put climate goals at risk

That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...
Visual Studio Magazine

Data Anomaly Detection Using LightGBM

Dr. James McCaffrey from Microsoft Research presents a complete program that uses the Python language LightGBM system to create a custom autoencoder for data anomaly detection. You can easily adapt ...
Government Executive

Fidelis Network: Deep Visibility, Advanced Threat Detection and Response

Fidelis Network is an NDR security solution which offers full and deep internal visibility across all ports and protocols, with network traffic analysis and network behavior anomaly detection, which ...
Visual Studio Magazine

DBSCAN Clustering and Anomaly Detection Using C#

A good way to see where this article is headed is to take a look at the screenshot in Figure 1 and the graph in Figure 2. The demo program begins by loading a tiny 10-item dataset into memory. The ...
EurekAlert!

An efficient and memory-friendly unsupervised industrial anomaly detection model

The proposed industrial anomaly detection model is computationally efficient, memory-friendly, and also suitable for low-light conditions, common in manufacturing environments, making it well-suited ...