Robustness in Simultaneous Localization and Mapping (SLAM) remains one o...
The segmentation of atrial scan images is of great significance for the
...
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown...
Deep-learning-based technologies such as deepfakes ones have been attrac...
The recent emergence of joint CTC-Attention model shows significant
impr...
Medical image segmentation based on deep learning is often faced with th...
In this paper, we present a methodology for fisheries-related data that
...
In this paper, we look at the role of autonomous navigation in the marit...
End-to-end Spoken Language Understanding (SLU) models are made increasin...
This paper proposes a new two-stage network mediation method based on th...
Reducing the lateral scale of two-dimensional (2D) materials to
one-dime...
Social networks contain data on both actor attributes and social connect...
A deep learning approach has been proposed recently to derive speaker
id...
Low-frequency words place a major challenge for automatic speech recogni...
Pre-training is crucial for learning deep neural networks. Most of exist...
Recent research shows that deep neural networks (DNNs) can be used to ex...
Recurrent neural networks (RNNs), particularly long short-term memory (L...