Contrastive representation learning is crucial in medical time series analysis as it alleviates
dependency on labor-intensive, domain-specific, and scarce expert annotations. However …

As construction projects increase in complexity, there are growing challenges with
conventional monitoring methods in terms of efficiency, safety, and competitiveness …

Early classification predicts the class of the incoming sequences before it is completely
observed. How to quickly classify streaming time series without losing interpretability …

Since its origin in the thermodynamics of the 19th century, the concept of entropy has also
permeated other fields of physics and mathematics, such as Classical and Quantum …

Anomaly prediction, aiming to predict abnormal events before occurrence, plays a key role
in significantly reducing costs and minimizing potential threats to mechanical devices …

In recent years, two competitive time series classification models, namely, ROCKET and
MINIROCKET, have garnered considerable attention due to their low training cost and high …

The problem of mine water source has always been an important hidden danger in mine
safety production. The water source under the mine working face may lead to geological …

Abstract The 5-Hydroxytryptamine (5HT)-2A receptor, a key target in psychoactive drug
development, presents significant challenges in the design of selective compounds. Here …

Outfit compatibility modelling plays a significant role in e-commerce decision-making, but the
existing methods are restricted to modelling the visual and textual information and have …

In recent years, two time series classification models, ROCKET and MINIROCKET, have
attracted much attention for their low training cost and state-of-the-art accuracy. Utilizing …