Group activities have become an essential part of people’s daily life, which stimulates the
requirement for intensive research on the group recommendation task, ie, recommending …

In the realm of smart sensing with the Internet of Things, earable devices are empowered
with the capability of multi-modality sensing and intelligence of context-aware computing, …

Sequential recommendation that aims to predict user preference with historical user
interactions becomes one of the most popular tasks in the recommendation area. The existing …

Split Learning (SL) is widely regarded as a promising distributed machine learning framework
with superior privacy-preserving properties, lower communication and computation costs. …

Compared with traditional thermoelectric (TE) materials, bismuth oxyselenide (Bi 2 \documentclass[12pt]{minimal}
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Details of lithospheric structures in three‐dimensions (3‐D) are key to understanding the
dynamics of crustal deformation and earthquakes in active orogenic systems. In this study, we …

Accurate medical image segmentation especially for echocardiographic images with
unmissable noise requires elaborate network design. Compared with manual design, Neural …

By manipulating the work function, the dissipation of thermal energy on the material surface
can be regulated through Electron Transpiration Cooling (ETC) mechanism. The doping of …

Abstract: Objective Explore the clinical characteristics and regularity of anaphylactic shock
by Tanreqing injection, provide basis for clinical rational drug use. Methods With" Tanreqing …

Superconducting transition-edge sensors (TESs) are highly sensitive detectors and can detect
electromagnetic wave radiations from millimeter/submillimeter, optical to 𝑥/γrays, suitable …