Capturing Mathematical and Human Perceptions of Shape and Form Through Machine Learning

James A Gopsill; Mark A Goudswaard; Ben J Hicks; David Edward Jones

doi:10.1017/pds.2021.59

Capturing Mathematical and Human Perceptions of Shape and Form Through Machine Learning

James A Gopsill, Mark A Goudswaard, Ben J Hicks, David Edward Jones

Department of Mechanical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

1 Citation (Scopus)

Original language	English
Title of host publication	Proceedings of the Design Society , Volume 1: ICED21 , August 2021
Pages	591-600
Number of pages	10
Volume	1
DOIs	https://doi.org/10.1017/pds.2021.59
Publication status	Published - 27 Jul 2021

Publication series

Name	Proceedings of the Design Society
ISSN (Print)	2732-527X

Bibliographical note

Funding Information:
The work has been undertaken as part of the Engineering and Physical Sciences Research Council (EPSRC) grants – EP/R032696/1 and EP/V05113X/1. The authors would like to also thank the University of Bristol and Centre for Modelling and Simulation in supporting this research, PaperSpace for the ‘ML-in-a-box’ solution, and the creators of open-source tools.

Funding Information:
The work has been undertaken as part of the Engineering and Physical Sciences Research Council (EPSRC) grants ? EP/R032696/1 and EP/V05113X/1. The authors would like to also thank the University of Bristol and Centre for Modelling and Simulation in supporting this research, PaperSpace for the ?ML-in-a-box? solution, and the creators of open-source tools.

Publisher Copyright:
© ICED 2021.All right reserved.

Access to Document

10.1017/pds.2021.59Licence: CC BY-NC-ND

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Cite this

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title = "Capturing Mathematical and Human Perceptions of Shape and Form Through Machine Learning",

author = "Gopsill, {James A} and Goudswaard, {Mark A} and Hicks, {Ben J} and Jones, {David Edward}",

note = "Funding Information: The work has been undertaken as part of the Engineering and Physical Sciences Research Council (EPSRC) grants – EP/R032696/1 and EP/V05113X/1. The authors would like to also thank the University of Bristol and Centre for Modelling and Simulation in supporting this research, PaperSpace for the {\textquoteleft}ML-in-a-box{\textquoteright} solution, and the creators of open-source tools. Funding Information: The work has been undertaken as part of the Engineering and Physical Sciences Research Council (EPSRC) grants ? EP/R032696/1 and EP/V05113X/1. The authors would like to also thank the University of Bristol and Centre for Modelling and Simulation in supporting this research, PaperSpace for the ?ML-in-a-box? solution, and the creators of open-source tools. Publisher Copyright: {\textcopyright} ICED 2021.All right reserved.",

year = "2021",

month = jul,

day = "27",

doi = "10.1017/pds.2021.59",

language = "English",

volume = "1",

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pages = "591--600",

booktitle = "Proceedings of the Design Society , Volume 1: ICED21 , August 2021",

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Capturing Mathematical and Human Perceptions of Shape and Form Through Machine Learning. / Gopsill, James A ; Goudswaard, Mark A ; Hicks, Ben J et al.
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 . Vol. 1 2021. p. 591-600 (Proceedings of the Design Society).

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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AU - Goudswaard, Mark A

AU - Hicks, Ben J

AU - Jones, David Edward

N1 - Funding Information: The work has been undertaken as part of the Engineering and Physical Sciences Research Council (EPSRC) grants – EP/R032696/1 and EP/V05113X/1. The authors would like to also thank the University of Bristol and Centre for Modelling and Simulation in supporting this research, PaperSpace for the ‘ML-in-a-box’ solution, and the creators of open-source tools. Funding Information: The work has been undertaken as part of the Engineering and Physical Sciences Research Council (EPSRC) grants ? EP/R032696/1 and EP/V05113X/1. The authors would like to also thank the University of Bristol and Centre for Modelling and Simulation in supporting this research, PaperSpace for the ?ML-in-a-box? solution, and the creators of open-source tools. Publisher Copyright: © ICED 2021.All right reserved.

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BT - Proceedings of the Design Society , Volume 1: ICED21 , August 2021

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