Image dehazing is a crucial image processing step for outdoor vision systems. However,
images recovered through conventional image dehazing methods that use either haze-relevant …

Background/Aim: Nuclear factor kappa B (NF-κB) inactivation and apoptosis activation have
been shown to enhance the anticancer effect of cisplatin in oral squamous cell carcinoma (…

The automatic segmentation of intervertebral discs from medical images is an important task
for an intelligent clinical system. In this study, a deep learning model based on the …

Purpose Urinary catheterization is a common technique in clinical practice. There is,
however, no consensus on management prior to removal of the indwelling catheter for short-term …

This study displays a method to recognize and segment the time-sequential postures of golf
swing. Golf is a kind of sports that has been adopted by most universities for physical …

Freestanding micrometer thick graphene oxide (GO) membranes combine high stiffness, low
mass density, and high loss coefficient. This unique combination of properties is ideal for …

In many realistic production situations, a job processed later consumes more time than the
same job when it is processed earlier. Production scheduling in such an environment is …

In this paper, a miniature dual-band absorptive bandstop filter (ABSF) design with improved
lower passband performance is proposed. Specifically, a stepped-impedance short-circuited …

A new driver monitoring system called DeriskNet for driving risk prevention is proposed in
this paper. We first develop a deep convolutional neural network to recognize the driver's …

This paper introduces a trainable deep framework called DedistractedNet for recognizing the
distracted driving behaviors from an image. In contrast to other conventional strategies that …