Circular ribonucleic acids (circRNAs) are widely expressed in cells and tissues and play vital
roles in cellular physiological processes. Their expressions are associated with …

Image super‐resolution reconstruction refers to a technique of recovering a high‐resolution
(HR) image (or multiple images) from a low‐resolution (LR) degraded image (or multiple …

Spiking neural networks (SNNs) are regarded as a promising candidate to deal with the
major challenges of current machine learning techniques, including the high energy …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

Scene segmentation is a challenging task as it need label every pixel in the image. It is
crucial to exploit discriminative context and aggregate multi-scale features to achieve better …

The use of machine learning algorithms for facial expression recognition and patient
monitoring is a growing area of research interest. In this study, we present a technique for …

Face recognition (FR) is defined as the process through which people are identified using
facial images. This technology is applied broadly in biometrics, security information …

Although face recognition systems have achieved impressive performance in recent years,
the low-resolution face recognition task remains challenging, especially when the low …

Human faces contain useful information that can be used in the identification of age, gender,
weight etc. Among these biometrics, body mass index (BMI) and body weight are good …

The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the
future, IoFT, the “cloud” will be substituted by the “crowd” where model training is brought to …