Skeleton-based action recognition receives increasing attention because skeleton sequences
reduce training complexity by eliminating visual information irrelevant to actions. To …

Underexposed images often suffer from serious quality degradation such as poor visibility
and latent noise in the dark. Most previous methods for underexposed images restoration …

Smart Robots, as an advanced domain of widespread concern, can be applied in diverse
fields to perform compute-intensive Internet of Things (IoT) applications. However, their …

With multi-sensors embedded, flexible unmanned aerial vehicles (UAVs) can collect sensory
data and provide various services for all walks of life. However, limited computing capability …

Motivation In RNA-seq differential expression analysis, investigators aim to detect those
genes with changes in expression level across conditions, despite technical and biological …

High blood pressure causes over 10 million preventable deaths annually globally.
Populations in low- and middle-income countries suffer the most, experiencing increased …

Biocatalysis is promising for sustainable production of polymers. Enzyme-initiated reversible
addition–fragmentation chain transfer (RAFT) polymerization is reported. Horseradish …

While remarkable progress has been made on supervised skeleton-based action recognition
the challenge of zero-shot recognition remains relatively unexplored. In this paper we …

A primary challenge in the analysis of RNA-seq data is to identify differentially expressed
genes or transcripts while controlling for technical biases. Ideally, a statistical testing procedure …

In the 5G ultra-dense wireless heterogeneous network system, it is a crucial issue to implement
an effective network selection strategy to satisfy the demands of massive edge users and …