Conference Paper/Proceeding/Abstract 302 views 92 downloads
Pretraining Techniques for Ra Prediction with Long Thin Spatial Industrial Data
ALEXANDER MILNE,
Xianghua Xie 
,
Gary Tam
,
Gary Tam
ACIVS 2025 / LNCS
Swansea University Authors:
ALEXANDER MILNE, Xianghua Xie , Gary Tam
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PDF | Accepted Manuscript
Author accepted manuscript document released under the terms of a Creative Commons CC-BY licence using the Swansea University Research Publications Policy (rights retention).
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Abstract
Pretraining Techniques for Ra Prediction with Long Thin Spatial Industrial Data
| Published in: | ACIVS 2025 / LNCS |
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| Published: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa69563 |
| College: |
Faculty of Science and Engineering |
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| Funders: |
This work was funded by EPSRC Industrial Case award (EP/V519601/1). For the purpose of open access the authors have applied a Creative Commons Attribution (CC BY) licence to any Author Accepted Manuscript version arising from this submission. |