In this work, an efficient precoding design scheme is proposed for downl...
Objective: The artificial pancreas (AP) has shown promising potential in...
One challenge of running a model predictive control (MPC) algorithm in a...
Recommender systems (RSs) have become an indispensable part of online
pl...
Video-based Emotional Reaction Intensity (ERI) estimation measures the
i...
Micro-expressions (MEs) are involuntary and subtle facial expressions th...
The reconfigurable intelligent surface (RIS) has drawn considerable atte...
We introduce an explorative active learning (AL) algorithm based on Gaus...
In this paper, we present a model pretraining technique, named MaskOCR, ...
Randomized coordinate descent (RCD) is a popular optimization algorithm ...
Many fundamental machine learning tasks can be formulated as a problem o...
Filter bank multiple access (FBMA) without subbands orthogonality has be...
The sudden onset of the coronavirus (SARS-CoV-2) pandemic has resulted i...
The sudden onset of the coronavirus (SARS-CoV-2) pandemic has resulted i...
This paper considers crowded massive multiple input multiple output (MIM...
In this paper, we are interested in editing text in natural images, whic...
The modeling of time series is becoming increasingly critical in a wide
...
Deep learning (DL) based autoencoder is a promising architecture to impl...
As opposed to manual feature engineering which is tedious and difficult ...
Deep learning (DL)-based autoencoder is a potential architecture to impl...
Deep learning (DL)-based autoencoder is a potential architecture to impl...
Sentiment in social media is increasingly considered as an important res...
Feature extraction and matching are among central problems of computer
v...