Deep learning-based methods have been extensively explored for automatic...
Coded distributed computing, proposed by Li et al., offers significant
p...
Predicting lower limb motion intent is vital for controlling exoskeleton...
Extracting building footprints from remote sensing images has been attra...
Coded caching technique is an efficient approach to reduce the transmiss...
This paper is concerned with a numerical solution to the scattering of a...
This paper studies a novel multi-access coded caching (MACC) model in
tw...
In this work, we propose a novel method for performing inertial aided
na...
Hyperspectral image classification (HIC) is an important but challenging...
Coded caching is a promising technique to smooth the network traffic by
...
Coded caching schemes with low subpacketization and small transmission r...
We present Luce, the first life-long predictive model for automated prop...
In recent years, the volume of the commercial mobile robot market has be...
This paper is concerned with a numerical solution of the acoustic scatte...
While visual localization or SLAM has witnessed great progress in past
d...
In this paper, we focus on localizing ground robots, by probabilisticall...
In this paper, we propose a lossless data hiding scheme in JPEG images. ...
Human emotion recognition is an important direction in the field of biom...