MA Rahim, J Shin, KS Yun - Annals of Emerging Technologies in …, 2020 - papers.ssrn.com
Sign language (SL) recognition is intended to connect deaf people with the general population via a variety of perspectives, experiences, and skills that serve as a basis for the …
J Dong, T Yan, W Sun - Electronics, 2024 - mdpi.com
In the progress of research in the field of semantic communication, most efforts have been focused on optimizing the signal-to-noise ratio (SNR), while the design and optimization of …
Y Zheng, F Wang, W Xu, M Pan… - GLOBECOM 2023-2023 …, 2023 - ieeexplore.ieee.org
Semantic communications, aiming at ensuring the successful delivery of the meaning of information, are expected to be one of the potential techniques for the next generation …
H Zhou, W Zhou, Y Zhou, H Li - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Despite the recent success of deep learning in video-related tasks, deep models typically focus on the most discriminative features, ignoring other potentially non-trivial and …
D Huang, F Gao, X Tao, Q Du… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Semantic communications has received growing interest since it can remarkably reduce the amount of data to be transmitted without missing critical information. Most existing works …
Traditional communication systems treat messages' semantic aspects and meaning as irrelevant to communication, revealing its limitations in the era of artificial intelligence (AI) …
B Xie, Y Wu, Y Shi, DWK Ng… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multinode communication, which refers to the interaction among multiple devices, has attracted lots of attention in many Internet of Things (IoT) scenarios. However, its huge …
HX Chung, N Hameed, J Clos… - 2022 14th International …, 2022 - ieeexplore.ieee.org
American sign language (ASL) is a natural language to minimize communication barrier for the people suffering from hearing and speech impairment. However, sign languages are not …
In our study, we implemented an innovative approach that harnessed the proven capabilities of ResNet, which achieved an exceptional accuracy rate of 99.98% in classifying American …