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Group by: No Grouping | Volume Number of items: 2. Aristizábal Pla, Gerard and Beschorner, Kurt E (2025) Automated traction analysis for worn shoes: combining novel imaging technology, convolutional neural networks, and hydrodynamic modelling to predict friction performance. Footwear Science. (Submitted) Beschorner, Kurt and Ing, Henry and Chadha, Vimanyu and Randolph, Anna and Reifler, Ky and Jacobs, Tevis (2023) Shoe-floor friction is predicted by high-frequency material properties and small-scale floor topographical features. Footwear Science, 15 (sup1). ISSN 1942-4280 |
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