Semantic information representation in image-based communication often employs feature
vectors, lacking interpretability and posing challenges for human comprehension. This …

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 …

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 …

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 …

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 …

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) …

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 …

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 …