IEEE

Graph Neural Networks With Trainable Adjacency Matrices for Fault Diagnosis on Multivariate Sensor Data

Abstract: Timely detection and accurate diagnosis of faults in technological processes can significantly reduce production costs in manufacturing. Modern industrial equipment, equipped with numerous ...

Real-world MRI data confirm shared brain signatures of mental health disorders

Over 1 billion people worldwide are living with one or more mental health disorders that affect their mood, thinking ...
Scientific Research Publishing

Construction of a Risk Prediction Model for Diabetic Nephropathy Based on the Urinary Microalbumin-to-Creatinine Ratio and Blood Markers ()

Based on this, this study retrospectively analyzes the clinical testing data of patients with diabetic nephropathy and those with simple diabetes mellitus to investigate the predictive value of ...
IEEE

Deep Learning for Anomaly Detection in Time-Series Data: An Analysis of Techniques, Review of Applications, and Guidelines for Future Research

Abstract: Industries are generating massive amounts of data due to increased automation and interconnectedness. As data from various sources becomes more available, the extraction of relevant ...