Review and perspectives on driver digital twin and its enabling technologies for intelligent vehicles
Digital Twin (DT) is an emerging technology and has been introduced into intelligent driving
and transportation systems to digitize and synergize connected automated vehicles …
and transportation systems to digitize and synergize connected automated vehicles …
An ensemble of a boosted hybrid of deep learning models and technical analysis for forecasting stock prices
For several years the modeling as well as forecasting of the prices of stocks have been
extremely challenging for the business community and researchers as a result of the …
extremely challenging for the business community and researchers as a result of the …
Driver anomaly quantification for intelligent vehicles: A contrastive learning approach with representation clustering
Driver anomaly quantification is a fundamental capability to support human-centric driving
systems of intelligent vehicles. Existing studies usually treat it as a classification task and …
systems of intelligent vehicles. Existing studies usually treat it as a classification task and …
Potential future directions in optimization of students' performance prediction system
Previous studies widely report the optimization of performance predictions to highlight at‐
risk students and advance the achievement of excellent students. They also have …
risk students and advance the achievement of excellent students. They also have …
Sign language recognition for Arabic alphabets using transfer learning technique
M Zakariah, YA Alotaibi, D Koundal… - Computational …, 2022 - Wiley Online Library
Sign language is essential for deaf and mute people to communicate with normal people
and themselves. As ordinary people tend to ignore the importance of sign language, which …
and themselves. As ordinary people tend to ignore the importance of sign language, which …
Toward human-centered automated driving: A novel spatiotemporal vision transformer-enabled head tracker
Accurate dynamic driver head pose tracking is of great importance for driver–automotive
collaboration, intelligent copilot, head-up display (HUD), and other human-centered …
collaboration, intelligent copilot, head-up display (HUD), and other human-centered …
A novel data-driven method based on sample reliability assessment and improved CNN for machinery fault diagnosis with non-ideal data
X Zhang, H Wang, B Wu, Q Zhou, Y Hu - Journal of Intelligent …, 2023 - Springer
Recently, numerous new data-driven methods have been proposed. But most of them
focused on the innovation of models and algorithms, and rarely discussed and optimized …
focused on the innovation of models and algorithms, and rarely discussed and optimized …
Deep learning for head pose estimation: A survey
A Asperti, D Filippini - SN Computer Science, 2023 - Springer
Head pose estimation (HPE) is an active and popular area of research. Over the years,
many approaches have constantly been developed, leading to a progressive improvement …
many approaches have constantly been developed, leading to a progressive improvement …
[HTML][HTML] Research on cloud data encryption algorithm based on bidirectional activation neural network
Z Man, J Li, X Di, R Zhang, X Li, X Sun - Information Sciences, 2023 - Elsevier
Recently, it has been found that cloud storage still has security risks, and research on the
security and privacy of user data and information is still in the early stage. This paper studies …
security and privacy of user data and information is still in the early stage. This paper studies …
A novel heterogeneous network for modeling driver attention with multi-level visual content
Driver attention modeling is a crucial technique in building human-centric intelligent driving
systems. Considering the human visual mechanism, this study leverages multi-level visual …
systems. Considering the human visual mechanism, this study leverages multi-level visual …