Due to the increased disease occurrence rates in humans, the need for the Automated
Disease Diagnosis (ADD) systems is also raised. Most of the ADD systems are proposed to …

The reaction-diffusion system is naturally used in chemistry to represent substances reacting
and diffusing over the spatial domain. Its solution illustrates the underlying process of a …

Consumer-grade Unmanned Aerial Vehicles (UAVs) are poorly suited to monitor complex
scenes where multiple analysis tasks need to be carried out in real-time and in parallel to …

Aiming at speeding up the process of topology optimization and generating a novel high-
quality topology configuration, a topology optimization design with lightweight structure …

The accuracy in diagnosing prostate cancer (PCa) has increased with the development of
multiparametric magnetic resonance imaging (mpMRI). Biparametric magnetic resonance …

Docker offers an ecosystem that offers a platform for application packaging, distributing, and
managing within containers. However, the Docker platform has not yet matured. Presently …

This paper investigates a deep learning‐based wind‐forecasting model to establish an
accurate forecasting model which can support the increasing growth of wind power …

Advances in deep learning and convolutional neural networks (ConvNets) have driven
remarkable face recognition (FR) progress recently. However, the black-box nature of …

Although the Mask region-based convolutional neural network (R-CNN) model possessed a
dominant position for complex and variable road scene segmentation, some problems still …

Convolutional neural networks (CNNs) have shown tremendous progress and performance
in recent years. Since emergence, CNNs have exhibited excellent performance in most of …