Machine health monitoring is used to forecast remaining useful life in predictive maintenance (PdM) to optimize production efficiency. Given the substantial cost and critical operational role of ... Read More

Lithium-ion batteries offer high energy density and low self-discharge, making them a key energy storage system for transportation electrification. However, the coupled electrochemical dynamics o ... Read More

Smoke opacity is an important indicator for evaluating emissions from stationary pollution sources, but conventional visual inspection is still affected by observer subjectivity, illumination con ... Read More

The flourishing development of network applications and humans’ increasing needs on the internet have contributed to a significant increase in not only global data traffic volume (1) but also c ... Read More

Food image analysis remains challenging owing to substantial visual variations, multiscale ingredient appearances, and the computational demands of global visual modeling. In practical dietary se ... Read More

The rapid proliferation of online learning platforms has made student engagement a crucial metric for evaluating learning effectiveness. However, existing computer-vision-based methods often inad ... Read More

Osteoporosis screening from hip radiographs requires both predictive performance and interpretable model outputs. In this study, we developed a three-component computational framework that separa ... Read More

In intelligent manufacturing environments, first-person view imagery has become increasingly important for equipment maintenance, operation monitoring, and intelligent assistance systems. However ... Read More