📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

Smooth and accurate predictions of joint contact force time-series in gait using over parameterised deep neural networks. (2023)

First Author: Liew BXW

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.3389/fbioe.2023.1208711

PubMed Identifier: 37465692

Publication URI: http://europepmc.org/abstract/MED/37465692

Type: Journal Article/Review

Volume: 11

Parent Publication: Frontiers in bioengineering and biotechnology

ISSN: 2296-4185