Radio frequency (RF) energy transfer and harvesting techniques have recently become
alternative methods to power the next-generation wireless networks. As this emerging …

Pre-trained language representation models, such as BERT, capture a general language
representation from large-scale corpora, but lack domain-specific knowledge. When reading a …

Together with an explosive growth of the mobile applications and emerging of cloud
computing concept, mobile cloud computing (MCC) has been introduced to be a potential …

When Wang Ping was nine years old, she secretly set about binding her feet with elastic
bands. Footbinding had by then been outlawed in China, women’s feet “liberated,” but at that …

IDH1 and IDH2 mutations occur frequently in gliomas and acute myeloid leukemia, leading
to simultaneous loss and gain of activities in the production of α-ketoglutarate (α-KG) and 2-…

Since the inception of industrial revolution, metal refining plants using pyrometallurgical
processes have generated the prodigious emissions of lead (Pb) and cadmium (Cd). As the core …

Deep learning, a branch of machine learning, is a frontier for artificial intelligence, aiming to
be closer to its primary goal—artificial intelligence. This paper mainly adopts the summary …

Bounding box regression is the crucial step in object detection. In existing methods, while ℓ
n-norm loss is widely adopted for bounding box regression, it is not tailored to the evaluation …

This paper presents a comprehensive literature review on applications of deep reinforcement
learning (DRL) in communications and networking. Modern networks, eg, Internet of …

Recent breakthroughs in nanotechnology have made various nanostructured materials
more affordable for a broader range of applications. Although we are still at the beginning of …