Python libraries for cybersecurity help automate threat detection, network monitoring, and vulnerability analysis. Tools like Scapy, Nmap, and Requests enable penetration testing and network security ...

AI tools are frequently used in data visualization — this article describes how they can make data preparation more efficient ...

Horror games are one of the best genres on Roblox, but the amount of jumpscares Scary Shawarma Kiosk the Anomaly brings is amazing. The game lets you run a shawarma shop while finding anomalies and ...

Abstract: Anomaly detection for time-series data has been viewed widely in many practical applications and caused lots of research interests. A popular solution based on deep learning techniques is ...

PythoC lets you use Python as a C code generator, but with more features and flexibility than Cython provides. Here’s a first look at the new C code generator for Python. Python and C share more than ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

ROS-based Multisensor Fusion Digital Twin (MFDT) platform for real-time monitoring and defect detection of Laser-Directed Energy Deposition (L-DED) Additive Manufacturing (AM) process.

A complete end-to-end Streaming Data Analytics (SDA) project that generates real-time weather data, applies SDA filters (Moving Average, EWMA), detects anomalies using Isolation Forest, and visualizes ...

Abstract: Anomaly detection has a significant impact on applications such as video surveillance, medical diagnostics, and industrial monitoring, where anomalies frequently depend on context and ...