Journal of Medical Internet Research

Supervised Machine Learning Models for Predicting Sepsis-Associated Liver Injury in Patients With Sepsis: Development and Validation Study Based on a Multicenter Cohort Study

Objective: This study aims to develop an explainable machine learning model, incorporating stacking techniques, to predict the occurrence of liver injury in patients with sepsis and provide decision ...
Frontiers

Construction of a clinical prediction model for osteoporosis in asymptomatic elderly population based on machine learning algorithm

1 School of Information Engineering, Anhui University of Chinese Medicine, Hefei, China 2 School of Pharmaceutical Economics and Management, Anhui University of Chinese Medicine, Hefei, China ...
IEEE

TrajSSL: Trajectory-Enhanced Semi-Supervised 3D Object Detection

Abstract: Semi-supervised 3D object detection is a common strategy employed to circumvent the challenge of manually labeling large-scale autonomous driving perception datasets. Pseudo-labeling ...
NextBigFuture

1.5 billion packets per second DDoS attack detected with FastNetMon

FastNetMon today announced that it detected a record-scale distributed denial-of-service (DDoS) attack targeting the website of a leading DDoS scrubbing vendor in Western Europe. The disclosure comes ...
IEEE

EfficientSTNet: A Deep Learning Approach for Multi-Class DDoS Detection

Abstract: DDoS attacks are highly destructive, capable of targeting multiple devices simultaneously and posing significant threats to network systems. Therefore, it is increasingly essential to ...