Self-Supervised Learning Meets Custom Autoencoder Classifier: A Semi-Supervised Approach for Encrypted Traffic Anomaly Detection ...

This integrated engine aggregates multiple data sources and deploys cutting-edge machine learning and anomaly detection algorithms to create a powerful signal to detect fraud.

Autoencoder-based SCADA Telemetry Anomaly Detection This project implements an autoencoder-based anomaly detection system for SCADA (Supervisory Control and Data Acquisition) telemetry data. The ...

Utilities are cautiously embracing AI for predictive maintenance and fieldwork support as data centers and climate change strain the energy grid.

After the whole lava bridge debacle and heading into Act 2, you and your Jan Scientist alter will have gotten to know each other better in The Alters.

This paper proposes a novel approach using the Noisy-Student technique for anomaly detection. It addresses data contamination by combining a density-estimation teacher model for pseudo-labeling with a ...

The Atlantic's chilling secret: A century of data reveals ocean current collapse Research confirms weakening circulation drives South Greenland anomaly Date: June 20, 2025 Source: University of ...

An unsupervised autoencoder approach achieves moderate success for anomaly detection (accuracy = 0.881) but struggles with recall (0.070). These findings highlight the trade-off between detection ...

WSN Anomaly Detection System A comprehensive simulation-based anomaly detection system for Wireless Sensor Networks (WSNs) using temperature, motion, and pulse sensors. The system detects 5 types of ...

PanGIA Biotech Unveils AI-Driven Urine Test Data for Early Prostate Cancer Detection at ASCO 2025 PanGIA Biotech, a leader in non-invasive cancer diagnostics, presented findings at the 2025 Annual ...