Search Results for author:
Found 3 papers, 1 papers with code
Data Augmentation for Generating Synthetic Electrogastrogram Time Series
Conclusion: The code for generation of synthetic EGG time series is freely available and can be further customized to assess signal processing algorithms, but also may be used to increase data diversity for training Artificial Intelligence (AI) algorithms.
Effectiveness of a time to fixate for fitness to drive evaluation in neurological patients
The results showed that the proposed method based on the YOLO (you only look once) object detector is efficient for computing TTFs from the eye-tracker data.
Driver2vec: Driver Identification from Automotive Data
In this paper, we develop a deep learning architecture (Driver2vec) to map a short interval of driving data into an embedding space that represents the driver's behavior to assist in driver identification.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
