The technological advancements of Internet of Things (IoT) has revolutionized traditional
Consumer Electronics (CE) into next-generation CE with higher connectivity and …

Fashion, as a popular aesthetic expression, is often conveyed in a specific context, in
particular in clothing, footwear, and accessories. Attributed to its enormous economic …

In this paper, we propose a non-intrusive and nonrestrictive multimodal deep learning model
for estimating the engagement levels of game streamers. We incorporate three modalities …

The Recommendation System (RS) plays a crucial role in various platforms as an
information filtering agent however, our literature survey found that there is an unexplored …

In the era of Industry 5.0, technology promises the rapid and smart growth of industries to
improve the system performance substantially and be sustainable and more secure. Industry …

Consumer communication is one of the most important factors impacting consumption,
especially for hearing-impaired people. Continuous sign language recognition (CSLR) is a …

Presently, the prevalence of large language models has driven the rapid popularization of
question-and-answer applications. However, the training and deployment of large language …

Speech emotion recognition (SER) has widespread applications in human-computer
interaction. However, the performance of SER models often drops in domain mismatch …

Data modeling is a critical component in the development of next-generation consumer
electronics (CE), as it provides massive data support to implement smart services related to …

Traditional deep learning-based fault diagnosis scenarios always rely on a certain type of
deep neural networks (DNNs) to extract its inherent features, which can overcome the …