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 ...
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 ...
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

Integrating Travel Survey and Amap API Data Into Travel Mode Choice Analysis With Interpretable Machine Learning Models: A Case Study in China

Abstract: Travel survey data has long been one of the fundamental sources for travel mode choice behavior analysis. It can provide a wealth of travel-related information and detailed household ...