Human action recognition is one of the fundamental challenges in robotics systems. In this
paper, we propose one lightweight action recognition architecture based on deep neural …

This review summarizes the mechanism and performance of metal oxide based resistive
switching memory. The origin of resistive switching (RS) behavior can be roughly classified into …

Recovery algorithms play a key role in compressive sampling (CS). Most of current CS recovery
algorithms are originally designed for one-dimensional (1D) signal, while many practical …

Unprecedented breakthroughs have been made in cancer immunotherapy in recent years.
Particularly immune checkpoint inhibitors have fostered hope for patients with cancer. …

While foreign pundits have alternatively blamed and praised the Chinese government’s
handling of the COVID-19 virus, little is known about how citizens within China understand this …

This study proposes an innovative single-antenna GNSS/MEMS integrated attitude determination
system designed to address the challenges of low accuracy and poor robustness in …

Human mesh recovery from one single image has achieved rapid progress recently, but many
methods suffer from the image appearance overfitting since the training data are collected …

Traditional paper certificates and electronic certificates have difficulties in preservation and
management, not to mention other problems concerning inconvenient verification, poor …

Accurate hyperspectral remote sensing information is essential for feature identification and
detection. Nevertheless, the hyperspectral imaging mechanism poses challenges in …

With the constant fusion of virtual and reality, a new vision of human beings has emerged—Metaverse.
At present, the development of metaverse is still in its infancy, and although the …