Peer-reviewedCC BY 4.0Multidisciplinary Biomechanics Journal
Predicting Locomotor Behavior on an Irregular Surface from Even-Surface Gait: A Machine Learning Approach
Related
- AMOR: Adaptive Modal Operator Refinement for Operator Learning on Arbitrary Meshes and Irregular 3D Geometries
- Improved Density Functionals for Predicting Block Copolymer Domain Structure and Phase Behavior
- Predicting droplet landing in angle-controlled surface acoustic wave jetting
- Surface Reconstruction-Driven Insulating Behavior in Metallic Charge-Density-Wave 1T-TaSe2
- Accurate Morphology-Related Diffraction Behavior of Light-Induced Surface Relief Gratings on Azopolymers
BibTeX
@article{effatparvar2026predicting,
title = {{Predicting Locomotor Behavior on an Irregular Surface from Even-Surface Gait: A Machine Learning Approach}},
author = {Mohammad Reza Effatparvar and Silvère de Freitas and Yosra Cherni},
journal = {Multidisciplinary Biomechanics Journal},
year = {2026},
month = oct,
doi = {10.46298/mbj.19203},
url = {https://hal.science/hal-05738116v2},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Predicting Locomotor Behavior on an Irregular Surface from Even-Surface Gait: A Machine Learning Approach
AU - Mohammad Reza Effatparvar
AU - Silvère de Freitas
AU - Yosra Cherni
PY - 2026
DA - 2026/10/26
JO - Multidisciplinary Biomechanics Journal
DO - 10.46298/mbj.19203
UR - https://hal.science/hal-05738116v2
SN - 3076-1158
ER -