Results 41 to 50 of about 161,859 (168)
Multi-Task Federated Split Learning Across Multi-Modal Data with Privacy Preservation
With the advancement of federated learning (FL), there is a growing demand for schemes that support multi-task learning on multi-modal data while ensuring robust privacy protection, especially in applications like intelligent connected vehicles ...
Yipeng Dong +6 more
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In this study, a novel classification method for a driver’s cognitive stress level was proposed, whereby the interbeat intervals extracted from an electrocardiogram (ECG) signal were transferred to pictures, and a convolution neural network (CNN ...
Jing Huang, Xiong Luo, Xiaoyan Peng
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Evaluation of Flange Grease on Revenue Service Tracks Using Laser-Based Systems and Machine Learning
This study presents a machine learning approach for estimating the presence and extent of flange-face lubrication on a rail. It offers an alternative to the current empirical and subjective methods for lubrication assessment, in which track engineers ...
Aditya Rahalkar +4 more
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The electrode tabs of pouch cells are rigidly joined to the bus bar in a battery module to achieve an electric connection. The effect of abusive mechanical loads arising from crash-related deformation or the possible movement of battery cells caused by ...
Patrick Höschele +2 more
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Multi-modal framework for battery state of health evaluation using open-source electric vehicle data
Accurate, practical, and robust evaluation of the battery state of health is crucial to the efficient and reliable operation of electric vehicles. However, the limited availability of large-scale, high-quality field data hinders the development of the ...
Hongao Liu +7 more
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Spectrum Requirement for Vehicle-to-Vehicle Communication for Traffic Safety
We investigate the amount of radio spectrum re- quired for reliable vehicle-to-vehicle (V2V) communication for traffic safety. The basic feature of the traffic safety application is that it uses periodical broadcasts of status messages containing the location and velocity of transmitting vehicles.
Shi, Lei, Sung, Ki Won
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Background In cervical arthroplasty, qualitative motion analysis generally investigates the position of the center of rotation (COR) before and after surgery. But is the pre-op COR suitable as reference?
Manfred Muhlbauer +4 more
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In-Motion, Non-Contact Detection of Ties and Ballasts on Railroad Tracks
This study aims to develop a robust and efficient system to identify ties and ballasts in motion using a variety of non-contact sensors mounted on a robotic rail cart. The sensors include distance LiDAR sensors and inductive proximity sensors for ferrous
S. Morteza Mirzaei +3 more
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An amendment to this paper has been published and can be accessed via the original article.
Manfred Muhlbauer +4 more
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Retracted: Vehicle Safety-Assisted Driving Technology Based on Computer Artificial Intelligence Environment. [PDF]
Intelligence And Neuroscience C.
europepmc +1 more source

