In bearing fault diagnosis, traditional deep learning methods often fall short of achieving satisfactory diagnostic accuracy under variable operating conditions. A critical phase in this process ... Read More

With the rapid development of sensors and sensor technology, facial expression recognition (FER) systems can be developed and applied to real-world scenarios. Vision scan sensors and ambient ligh ... Read More

The assessment of early laryngeal cancer and pre-neoplastic lesions is subjective and depends on doctors’ experience, leading to missed diagnoses in primary institutions. Our objective was to d ... Read More

In this paper, we present an adaptive optimal control algorithm for solving the tracking control problem of multiple autonomous surface vehicles under uncertain dynamics and unknown external dist ... Read More

In this study, we explore the integration of eye-gaze (EG) information obtained via eye-tracking sensors to enhance medical image segmentation. EG is additional information on an image, and to in ... Read More

Obstructive sleep apnea (OSA) is a prevalent sleep disorder that seriously affects patients’ quality of life and health status. Traditional diagnostic methods are time-consuming and labor-inten ... Read More

In recent years, as the demographic profile of society continues to shift towards an aging population, there has been a concomitant shortage of caregivers, leading to an increase in the demand fo ... Read More