One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
The Sports Analytics Research Group employs quantitative analysis to give teams the hard numbers they need to perform better ...
Background The widespread mobilisation to improve maternal health over recent decades has led to increased prenatal ...
Objective SLE is a heterogeneous systemic autoimmune disease with diverse clinical manifestations. We aimed to identify ...
Abstract: This article introduces a novel extension of the multivariate variational mode decomposition (MVMD) method, termed fuzzy MVMD (FMVMD), designed to enhance alignment information extraction.
Genome-Wide Association Studies (GWAS) have transformed human genetics by identifying thousands of loci associated with complex traits and diseases. Yet, individual GWAS are often underpowered, and ...
Adapting to the stream: An instance-attention GNN method for irregular multivariate time series data
Framework of DynIMTS. The model is a recurrent structure based on a spatial-temporal encoder and consists of three main components: embedding learning, spatial-temporal learning, and graph learning.
Abstract: Time series anomaly detection (AD) plays a crucial role in network systems. It enables the timely detection of anomalies and root cause analysis, helping to prevent unnecessary losses.
ABSTRACT: Domaining is a crucial process in geostatistics, particularly when significant spatial variations are observed within a site, as these variations can significantly affect the outcomes of ...
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