Abstract: Recently, multivariate time series (MTS) clustering has gained lots of attention. However, state-of-the-art algorithms suffer from two major issues. First, few existing studies consider ...

Abstract: This paper presents a system for multivariate time series anomaly detection using deep learning, with an added module to reflect variable relationships. The system uses an autoencoder to ...

Learn battle-tested frameworks to optimize your conversion funnel, reduce friction, and transform website visitors into ...

Background Stroke after transcatheter aortic valve implantation (TAVI) is an infrequent but serious complication with ...

This study investigates advanced portfolio optimization techniques that integrate copula functions and GARCH models to enhance risk-adjusted performance in the European stock market. Traditional ...

Background Recent cardiovascular risk equations from the USA and United Kingdom use routinely collected electronic medical records (EMRs), while current equations used in Australia (AusCVDRisk) have ...

Introduction Perinatal depression in low- and middle-income countries is a global health concern. Interventions to support ...

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.

Wafula, C.W.N., Wamuyu, T. and Koome, P. (2025) Out-of-School Mentorship and Positive Youth Development among Secondary Students in Kibra, Nairobi, Kenya. Open Access Library Journal, 12, 1-24. doi: ...

The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Background Postoperative ileus (POI) is a common complication after abdominal surgery that significantly delays recovery. Evidence suggests that the general anaesthetic propofol inhibits ...