Artificial intelligence for the metaverse: A survey

T Huynh-The, QV Pham, XQ Pham, TT Nguyen… - … Applications of Artificial …, 2023 - Elsevier
Along with the massive growth of the Internet from the 1990s until now, various innovative
technologies have been created to bring users breathtaking experiences with more virtual …

Automatic modulation classification: A deep architecture survey

T Huynh-The, QV Pham, TV Nguyen, TT Nguyen… - IEEE …, 2021 - ieeexplore.ieee.org
Automatic modulation classification (AMC), which aims to blindly identify the modulation type
of an incoming signal at the receiver in wireless communication systems, is a fundamental …

Need of 6G for the metaverse realization

B Siniarski, C De Alwis, G Yenduri… - arxiv preprint arxiv …, 2022 - arxiv.org
The concept of the Metaverse aims to bring a fully-fledged extended reality environment to
provide next generation applications and services. Development of the Metaverse is backed …

Learning constellation map with deep CNN for accurate modulation recognition

VS Doan, T Huynh-The, CH Hua… - … 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
Modulation classification, recognized as the intermediate step between signal detection and
demodulation, is widely deployed in several modern wireless communication systems …

Bimodal learning via trilogy of skip-connection deep networks for diabetic retinopathy risk progression identification

CH Hua, T Huynh-The, K Kim, SY Yu, T Le-Tien… - International Journal of …, 2019 - Elsevier
Abstract Background Diabetic Retinopathy (DR) is considered a pathology of retinal
vascular complications, which stays in the top causes of vision impairment and blindness …

Learning 3D spatiotemporal gait feature by convolutional network for person identification

T Huynh-The, CH Hua, NA Tu, DS Kim - Neurocomputing, 2020 - Elsevier
For person identification in non-interaction biometric systems, gait recognition has been
recently encouraged in literature and industrial applications instead of face recognition …

Exploiting a low-cost CNN with skip connection for robust automatic modulation classification

T Huynh-The, CH Hua, JW Kim… - 2020 IEEE Wireless …, 2020 - ieeexplore.ieee.org
Recently, deep learning (DL) is an innovative machine learning (ML) technique that has
gained the outstanding achievements in computer vision and natural language processing …

Cross-attentional bracket-shaped convolutional network for semantic image segmentation

CH Hua, T Huynh-The, SH Bae, S Lee - Information Sciences, 2020 - Elsevier
As perception-related applications are of great importance in industrial production and daily
life nowadays, solutions for understanding given images semantically receive numerous …

Retinal vessel segmentation using round-wise features aggregation on bracket-shaped convolutional neural networks

CH Hua, T Huynh-The, S Lee - 2019 41st Annual International …, 2019 - ieeexplore.ieee.org
With the recent advent of deep learning in medical image processing, retinal blood vessel
segmentation topic has been comprehensively handled by numerous research works …

Convolutional network with densely backward attention for facial expression recognition

CH Hua, T Huynh-The, H Seo… - 2020 14th International …, 2020 - ieeexplore.ieee.org
The emergence of convolutional neural network (CNN) has enabled facial expression
recognition to accomplish significant outcomes nowadays. However, while existing …