Java程序辅导

C C++ Java Python Processing编程在线培训 程序编写 软件开发 视频讲解

客服在线QQ:2653320439 微信:ittutor Email:itutor@qq.com
wx: cjtutor
QQ: 2653320439
Dataset for paper "Predictive Prosthetic Socket Design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven Surrogate Modelling" - ePrints Soton The University of Southampton Courses University life Research Business Global About Visit Alumni Departments News Events Contact × Search the SiteSearch Filter your search: All Courses Projects Staff University of Southampton Institutional Repository Search Advanced Search Policies & Help Latest Download Statistics Browse by Year Browse by Divisions LeftRight ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us. Dataset for paper "Predictive Prosthetic Socket Design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven Surrogate Modelling" Dataset for paper "Predictive Prosthetic Socket Design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven Surrogate Modelling" Dataset for paper "Predictive Prosthetic Socket Design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven Surrogate Modelling" This is a dataset for the publication "Predictive Prosthetic Socket Design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven Surrogate Modelling". A readme is supplied to assist with opening the data file, which is formatted as a Python .pkl file, structured using dictionaries. 10.5258/SOTON/D0848 University of Southampton Steer, Joshua b958f526-9782-4e36-9c49-ad48e8f650ed Worsley, Peter 6d33aee3-ef43-468d-aef6-86d190de6756 Browne, Martin 6578cc37-7bd6-43b9-ae5c-77ccb7726397 Dickinson, Alexander 10151972-c1b5-4f7d-bc12-6482b5870cad Steer, Joshua b958f526-9782-4e36-9c49-ad48e8f650ed Worsley, Peter 6d33aee3-ef43-468d-aef6-86d190de6756 Browne, Martin 6578cc37-7bd6-43b9-ae5c-77ccb7726397 Dickinson, Alexander 10151972-c1b5-4f7d-bc12-6482b5870cad Steer, Joshua, Worsley, Peter, Browne, Martin and Dickinson, Alexander (2019) Dataset for paper "Predictive Prosthetic Socket Design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven Surrogate Modelling". University of Southampton doi:10.5258/SOTON/D0848 [Dataset] Record type: Dataset Abstract This is a dataset for the publication "Predictive Prosthetic Socket Design: Part 1—population-based evaluation of transtibial prosthetic sockets by FEA-driven Surrogate Modelling". A readme is supplied to assist with opening the data file, which is formatted as a Python .pkl file, structured using dictionaries. Other Data.pkl - Dataset Available under License Creative Commons Attribution. Download (4MB) Text readme_D0848.txt - Dataset Available under License Creative Commons Attribution. Download (4kB) More information Published date: 2019 Related URLs: https://doi.org/10.1007/s10237...19-01195-5 https://eprints.soton.ac.uk/431942/ Learn more about Institute for Life Sciences research Identifiers Local EPrints ID: 435552 URI: http://eprints.soton.ac.uk/id/eprint/435552 DOI: doi:10.5258/SOTON/D0848 PURE UUID: b2110798-86f1-40d8-a518-dbce4b73e45a ORCID for Joshua Steer: orcid.org/0000-0002-6288-1347 ORCID for Peter Worsley: orcid.org/0000-0003-0145-5042 ORCID for Martin Browne: orcid.org/0000-0001-5184-050X ORCID for Alexander Dickinson: orcid.org/0000-0002-9647-1944 Catalogue record Date deposited: 08 Nov 2019 17:31 Last modified: 09 Nov 2019 01:38 Export record ASCII CitationAtomBibTeXData Cite XMLDublin CoreDublin CoreEP3 XMLEndNoteHTML CitationHTML CitationHTML ListJSONMETSMODSMPEG-21 DIDLOpenURL ContextObjectOpenURL ContextObject in SpanRDF+N-TriplesRDF+N3RDF+XMLRIOXX2 XMLReferReference ManagerSimple Metadata Altmetrics Share this record Share this on FacebookShare this on Twitter Share this on Weibo Contributors Creator: Joshua Steer Creator: Peter Worsley Creator: Martin Browne Creator: Alexander Dickinson Download statistics Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website. View more statistics Library staff additional information Atom RSS 1.0 RSS 2.0 Contact ePrints Soton: eprints@soton.ac.uk ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2 This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use. © 2017 University of Southampton Site map Site map Freedom of information Terms & conditions Contact Jobs We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website. ×