In the Internet-of-Things (IoT) era, billions of sensors and devices collect and process data
from the environment, transmit them to cloud centers, and receive feedback via the Internet …

Deep learning techniques have received much attention in the area of image denoising.
However, there are substantial differences in the various types of deep learning methods …

Deep convolutional neural networks (CNNs) have attracted great attention in the field of
image denoising. However, there are two drawbacks:(1) it is very difficult to train a deeper …

As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …

To improve the recognition model accuracy of crop disease leaves and locating diseased
leaves, this paper proposes an improved Faster RCNN to detect healthy tomato leaves and …

Touchless palmprint recognition systems enable high-accuracy recognition of individuals
through less-constrained and highly usable procedures that do not require the contact of the …

Owing to the flexible architectures of deep convolutional neural networks (CNNs) are
successfully used for image denoising. However, they suffer from the following drawbacks:(i) …

Online palmprint recognition and latent palmprint identification are two branches of
palmprint studies. The former uses middle-resolution images collected by a digital camera in …

Since the proposal of big data analysis and Graphic Processing Unit (GPU), the deep
learning technique has received a great deal of attention and has been widely applied in the …

Over the past two decades, several studies have paid great attention to biometric palmprint
recognition. Recently, most methods in literature adopted deep learning due to their high …