funded by the Natural Sciences and Engineering Research Council of Canada(NSERC)Discovery Grant;JSPS KAKENHI under Grant Nos.21H04875 and 22KK0155.
This paper investigates a security problem of simultaneously addressing two types of attacks:Eavesdropping and infiltration.The authors model the target system as a discrete-event system(DES)with subsets of concealabl...
Creating a parallel corpus for machine translation is a challenging and time-consuming task,especially in a linguistically diverse country like the Philippines,with 185 languages.Although a wealth of text is available...
The two-factor authentication mechanism is gaining popularity as more people are becoming aware of the need to secure their identities. In the current form, existing 2FA systems are defenseless against phishing attack...
Background: Low back pain (LBP) is a very common health problem amongst the general population and a major cause of disability that affects work performance and well-being. Healthcare workers (HCWs) are especially at ...
supported in part by grants from the National Natural Science Foundation of China(61972341,61972342,61732015);the Tencent–Zhejiang University Joint Laboratory.
We present a novel learning method using a two-stream network to predict cloth deformation for skeleton-based characters.The characters processed in our approach are not limited to humans,and can be other targets with...
supported by the National Natural Science Foundation of China(62077038,61672405,62176196 and 62271374)。
In the field of hyperspectral image(HSI)classification in remote sensing,the combination of spectral and spatial features has gained considerable attention.In addition,the multiscale feature extraction approach is ver...
supported by the National Natural Science Foundation of China(Nos.62271062 and 62071063)。
Federated learning effectively addresses issues such as data privacy by collaborating across participating devices to train global models.However,factors such as network topology and computing power of devices can aff...
The objectives of this paper are to demonstrate the algorithms employed by three statistical software programs (R, Real Statistics using Excel, and SPSS) for calculating the exact two-tailed probability of the Wald-Wo...
Enterococcus faecalis and Enterococcus faecium rank among the leading causes of nosocomial bacteremia and urinary tract infections. They often persist on hospital surfaces due to their ability to withstand adverse env...
This paper presents vehicle localization and tracking methodology to utilize two-channel LiDAR data for turning movement counts. The proposed methodology uniquely integrates a K-means clustering technique, an inverse ...