Journal of Medical Internet Research

Early Predictive Accuracy of Machine Learning for Hemorrhagic Transformation in Acute Ischemic Stroke: Systematic Review and Meta-Analysis

Fortunately, our findings suggest that machine learning methods, particularly those combining clinical features and radiomics, hold promise for improving predictive accuracy. Our meta-analysis may ...
IEEE

Multiscale and Multiorientation Log-Gabor Network for Feature Learning of Vibration Signals in Bearing Fault Diagnosis

Abstract: Vibration signal analysis is one of the most important methods of machinery fault diagnosis. However, the fault-related components in vibration signals are often buried by the strong ...
IEEE

Cross-Sector Application of Machine Learning in Telecommunications: Enhancing Customer Retention Through Comparative Analysis of Ensemble Methods

Abstract: This work investigates the Supply chain evolution over diverse industries and forecasts a telecom churn using a publicly available dataset, besides offering a thorough technique for ...
GitHub

brute-force-detection

Microsoft Sentinel cloud SIEM lab - deployed Azure VM, ingested Windows Security Events via AMA, wrote KQL queries to detect brute force attacks and failed logins in real time. Replicates L1 SOC ...