Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Background Current diagnosis of antiphospholipid syndrome (APS) relies on antiphospholipid antibodies (aPL) testing, but false-positive aPL results and asymptomatic aPL carriers pose significant ...

The funding backs continued innovation in production-grade forecasting, anomaly detection, and artificial intelligence.

Polyetheretherketone (PEEK) implants are widely used in cranioplasty, yet the clinical significance of implant surface design remains unclear. A recent study compared postoperative outcomes associated ...

Milestone articles have highlighted the frequency and types of statistical errors in research,1–5 yet fundamental errors persist across various disciplines. With a background in biostatistics and over ...

Abstract: Traditional statistical time series forecasting models rely on model identification methods to identify the worthiest model variants to investigate; therefore, the model parameters change ...

Abstract: This survey comprehensively examines the challenges and methodologies for missing data recovery in Multivariate Time Series (MTS) within the context of Internet of Things (IoT) environments.

College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China Foliage plants have strict requirements for their growing environment, and timely and accurate soil temperature ...