Support vector machine (SVM) is a popular classifier known for accuracy,...
This paper presents our solution for the 2nd COVID-19 Severity Detection...
This paper presents our solution for the 2nd COVID-19 Competition, occur...
Ordinary differential equations (ODEs) are widely used to characterize t...
Digital Twins (DT) are essentially Dynamic Data-driven models that serve...
Ordinary differential equations (ODE) have been widely used for modeling...
Density regression characterizes the conditional density of the response...
Speaker verification (SV) aims to determine whether the speaker's identi...
A digital twin contains up-to-date data-driven models of the physical wo...
Subsampling is a popular approach to alleviating the computational burde...
To overcome long propagation delays for data exchange between the remote...
In this paper, a multi-user cooperative computing framework is applied t...
In telecommunications, network sustainability as a requirement is closel...
Transit operators and passengers need vulnerability measures to understa...
In many places all over the world rural and remote areas lack proper
con...
Machine learning has become ubiquitous and a key technology on mining
el...
Full-duplex self-backhauling is promising to provide cost-effective and
...
In-band full duplex wireless is of utmost interest to future wireless
co...
It has been shown that for a dcpo P, the Scott closure of Γ_c(P) in
Γ(P)...
C language is one of the most popular languages for software systems. In...
C language is one of the most popular languages in system programming an...
The ranked retrieval model has rapidly become the de-facto way for searc...
Virtual personal assistants (VPA) (e.g., Amazon Alexa and Google Assista...
Based on the dualism of information architecture and business model by K...
We propose the rank-regret representative as a way of choosing a small s...
This paper aims to investigate the extent to which researchers display
c...