IEEE

DRLLog: Deep Reinforcement Learning for Online Log Anomaly Detection

Abstract: System logs record the system’s status and application behavior, providing support for various system management and diagnostic tasks. However, existing methods for log anomaly detection ...
IEEE

Light-SLAM: A Robust Deep-Learning Visual SLAM System Based on LightGlue Under Challenging Lighting Conditions

Abstract: Simultaneous Localization and Mapping (SLAM) has become a critical technology for intelligent transportation systems and autonomous robots and is widely used in autonomous driving. However, ...
The Lancet

Development of a multi-task deep learning system for classification of nine common knee abnormalities on MRI: a large-scale, multicentre, stepwise validation study

aDepartment of Radiology, The Third Affiliated Hospital of Southern Medical University, Guangzhou, China bInstitute of High-End Intelligent Health Equipment, Academy of Orthopedics, Guangdong Province ...
PNAS

Accurate prediction of discontinuous crack paths in random porous media via a generative deep learning model

Porous media are susceptible to fracture. A deep understanding of crack propagation in porous microstructures remains limited to date, owing to the unacceptably expensive cost of numerical modeling ...
The Lancet

Causal deep learning for real-time detection of cardiac surgery-associated acute kidney injury: derivation and validation in seven time-series cohorts

aMedical Big Data Research Center, Chinese The People’s Liberation Army General Hospital, Beijing, China bNational Engineering Research Center of Medical Big Data Application Technology, The People’s ...