IEEE

Large Pretrained Foundation Model for Key Performance Indicator Multivariate Time Series Anomaly Detection

In the realm of Key Performance Indicator (KPI) anomaly detection, deep learning has emerged as a pivotal technology. Yet, the development of effective deep learning models is hindered by several ...
Frontiers

Nomograms for postoperative complications in congenital biliary dilatation: a retrospective cohort study

1 Department of Pediatric Surgery, Qilu Hospital of Shandong University, Jinan, Shandong, China 2 Department of Pediatric Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, Jiangsu, ...
Frontiers

Development and validation of a novel scoring system integrating MIBG scintigraphy and SPECT imaging for differentiating Parkinson’s disease

Department of Radiology and Nuclear Medicine, The First Hospital of Hebei Medical University, Shijiazhuang, Hebei, China Background: Early and accurate differentiation of Parkinson’s disease (PD) from ...
IEEE

A Novel Concept Drift Detection Model for Handling Evolving Patterns in Multivariate Time Series

Abstract: Concept drift detection in Multivariate Time Series (MTS) data is a critical challenge in domains such as finance, IoT sensor monitoring, and cybersecurity, where data distributions evolve ...