This paper presents a 2D skeleton-based action segmentation method with
...
This survey paper provides a comprehensive overview of the recent
advanc...
Despite recent advancements in speech emotion recognition (SER) models,
...
Non-speech emotion recognition has a wide range of applications includin...
Automated emotion recognition (AER) technology can detect humans' emotio...
Requiring less data for accurate models, few-shot learning has shown
rob...
We propose an automatic framework for toll collection, consisting of thr...
Rapid progress in adversarial learning has enabled the generation of
rea...
The anticipated increase in the count of IoT devices in the coming years...
The worldwide spread of COVID-19 has prompted extensive online discussio...
Spurred by the recent advances in deep learning to harness rich informat...
Deep Reinforcement Learning (DRL) has numerous applications in the real ...
Modulation classification is an important component of cognitive self-dr...
Deep Neural Networks (DNN) have been widely adopted in self-organizing
n...
Recently, many deep neural networks (DNN) based modulation classificatio...
Robotic navigation concerns the task in which a robot should be able to ...
Deep reinforcement learning algorithms have been shown to learn complex
...
The holy grail of networking is to create cognitive networks that
organi...
Connected and autonomous vehicles (CAVs) will form the backbone of futur...
Big data revolution promises to be instrumental in facilitating sustaina...
Deep neural networks have shown remarkable performance across a wide ran...
Future communications and data networks are expected to be largely cogni...
The networking field has recently started to incorporate artificial
inte...