Abstract Human Activity Recognition (HAR) has recently attracted academic research
attention and is used for purposes such as healthcare systems, surveillance-based security …

Multivariate time series classification (MTSC) has attracted significant research attention due
to its diverse real-world applications. Recently, exploiting transformers for MTSC has …

We present algorithms for the computation of ε-coresets for k-median clustering of point
sequences in ℝ^ d under the p-dynamic time warping (DTW) distance. Coresets under DTW …

Multivariate time series classification is crucial for various applications such as activity
recognition, disease diagnosis, and brain-computer interfaces. Deep learning methods have …

诊断滚动轴承变工况故障时通常采用硬件或信号预处理方法处理特征频率模糊或特征参数扰动
问题, 诊断环节复杂且不易实施, 因而提出直接获取工况不敏感特征参数的诊断思路 …

An electrocardiogram (ECG) is a simple test that checks the heart's rhythm and electrical
activity and can be used by specialists to detect anomalies that could be linked to diseases …

Using Time Series Classification (TSC) methods in the study of biological signals like ECG
for detecting unusual behavior is one of the most important applications of this field. With this …

In the fault diagnosis of rolling bearing, the vibration signals, which are collected from the
field test, are often more complex because they unavoidably contain various noises and …

Under the challenges posed by the randomness in ocean systems and the lack of labeled
observation datasets, a novel DTW-TRSAX method is presented for detecting anomalies of …

Multivariate time series classification presents a significant challenge with wide-ranging
applications in finance, medicine, and engineering, necessitating the consideration of …