Security Boulevard

Anomaly Detection in Post-Quantum AI Orchestration Workflows

Discover how to secure AI orchestration workflows using post-quantum cryptography and AI-driven anomaly detection for Model ...
IEEE

MiKA-HAD: Minority-Augmented KAN-Based Hybrid Self-Supervised Framework for Hyperspectral Anomaly Detection

Abstract: In recent years, autoencoder (AE)-based models have demonstrated significant potential in hyperspectral anomaly detection (HAD). However, the inherent class imbalance between anomaly and ...
IT-Online

Data Scientist at Datonomy Solutions – Western Cape Cape Town

We are seeking a Data Scientist to join our team in Cape Town, onsite. The Data Scientist will enhance, maintain, and evolve the analytical and optimisation models used to drive product assortment ...
IT-Online

Data Scientist at Datonomy Solutions

We are seeking a Data Scientist to join our team in Cape Town, onsite. The Data Scientist will enhance, maintain, and evolve the analytical and optimisation models used to drive product assortment ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
IEEE

Anomaly Detection Method Based on Clustering Undersampling and Ensemble Learning

Abstract: Detecting abnormal traffic is important for network management. Aiming at the problem of data imbalance in traffic anomaly detection, an undersampling method based on clustering is used to ...