Time series data contains the amount of information to reflect the development process and
state of a subject. Especially, the complexity is a valuable factor to illustrate the feature of the …

Lithology classification stands as a pivotal research domain within geological Remote
Sensing (RS). In recent years, extracting lithology information from multi-source RS data has …

A core challenge in survival analysis is to model the distribution of time-to-event data, where
the event of interest may be a death, failure, or occurrence of a specific event. Previous …

Data augmentation (DA) plays a crucial role in machine learning by improving model
generalization and tackling data scarcity issues, particularly prevalent in domains with …

Data is essential to performing time series analysis utilizing machine learning approaches,
whether for classic models or today's large language models. A good time-series dataset is …

In order to meet the demand for odor detection in the herbal medicine, a multisensor
detection system consisting of metal-oxide sensors (MOSs) is designed. With the …