Prediction of Head Injury Criteria in Pedestrian Crashes Using Frequency Response Function-Based Deep Neural Networks
This study aims to develop a deep neural network model capable of predicting the Head Injury Criterion (HIC), which is traditionally obtained through time-consuming and costly headform impact tests using dynamic stiffness measurements. The correlation between dynamic stiffness and HIC was initially...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11034971/ |
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