With the development of the Augmented and Virtual Reality (AR/VR) technologies, massive
biometric data are collected by different organizations. These data have great significance …

With the emergence of various convolutional neural network (CNN)-based applications and
the rapid growth of CNN model scale, the resource-constricted end devices can hardly …

Real-time coal mine intelligent monitoring for pedestrian identifying and positioning is an
important means to ensure safety in production. Traditional object detection models based …

Intelligent edge, ie the integration of edge computing with digital technologies such as
artificial intelligence (AI), machine learning (ML), data analytics, big data and cloud …

Electrocardiogram (ECG) monitoring is a critical and intricate task in cardiac healthcare.
While large models supported by the remote cloud servers with abundant computational …

Abstract Deep Neural Networks (DNNs) have shown exceptional promise in providing
Artificial Intelligence (AI) to many computer vision applications. Nevertheless, complex …

Deep neural networks (DNNs) have shown remarkable performance in the super-resolution
(SR) task, which can upscale low-resolution images to satisfy application demands on …

Deep learning (DL) has been very successful for classifying images, detecting targets, and
segmenting regions in high‐resolution images such as whole slide histopathology images …

Network pruning is an effective way of model compression, which has achieved significant
research progress in image classification. However, existing pruning methods primarily …

As an effective pruning method, dynamic pruning introduces gate modules that allow
different input data to choose different channels. This shows that the choice of channels …