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

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 ...
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 ...