Self-supervised learning (SSL) has recently achieved impressive performance on various
time series tasks. The most prominent advantage of SSL is that it reduces the dependence …

Wounds especially chronic ones significantly affect the quality of patients' life and present a
severe financial burden for the healthcare industry. Timely and effective management of …

A Content-based Time Series Retrieval (CTSR) system is an information retrieval system for
users to interact with time series emerged from multiple domains, such as finance …

The prediction of express delivery sequence, ie, modeling and estimating the volumes of
daily incoming and outgoing parcels for delivery, is critical for online business, logistics, and …

Financial firms commonly process and store billions of time-series data, generated
continuously and at a high frequency. To support efficient data storage and retrieval …

In the constrained computing environments such as mobile device or satellite on-board
system, various computational factors of hardware resource can restrict the processing of …

Time series data is ubiquitous across various domains such as finance, healthcare, and
manufacturing, but their properties can vary significantly depending on the domain they …

In recent times, the field of unsupervised representation learning (URL) for time series data
has garnered significant interest due to its remarkable adaptability across diverse …

Fault prediction is critically important for many mobile equipments such as vehicles, ships
and spacecrafts. Sensors deployed on these equipments continuously collect the status …

This article presents an in‐depth study and analysis of the construction of a convolutional
neural network model and multidimensional visualization system of old urban space and …