IEEE

AD2T: Multivariate Time-Series Anomaly Detection With Association Discrepancy Dual-Decoder Transformer

Abstract: Multivariate time-series (MTS) anomaly detection is of great importance in both condition monitoring and malfunction identification in multisensor systems. Current MTS anomaly detection ...
BMJ Open

Development and validation of a risk prediction model for chronic kidney disease among adult hypertensive patients having follow-up at University of Gondar Comprehensive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...
Gut

Twenty-four-week anti-PD-1 antibody regimen promoted HBsAg reduction and concurrently enhanced HBV-specific T cell responses in patients with chronic hepatitis B

Background PD-1 blockade has emerged as a promising approach for functional cure of chronic hepatitis B (CHB). Objective This study aimed to evaluate the safety profile of anti-PD-1 antibody (αPD-1), ...
IEEE

Variational Bayesian Inference for Linear State Space Models with Multivariate Laplace Distributions

Abstract: This paper presents a robust variational Bayesian (VB) method for identifying linear state space models (LSSM) with non-Gaussian observational noise. Appropriate prior information is ...

Understanding the Least Squares Criterion for Accurate Data Fitting

Learn how the Least Squares Criterion determines the line of best fit for data analysis, enhancing predictive accuracy in finance, economics, and investing.