Year: 2025
Type: article
Abstract: This study presents an interpretable surrogate framework for predicting pedestrian-leg injury severity that integrates high-fidelity finite-element (FE) simulations with a TabNet-based deep-learning model. We generated a para... | Find, read and cite all the research you need on Tech Science Press
Authors: Junling Zhong, Furong Geng, Zhixiao Chen, Wenbin Hou
Institution: Dalian University of Technology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4411467028
