Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data

MILNE, ALEXANDER; Xie, Xianghua; Tam, Gary

doi:10.1007/978-3-032-07343-3_24

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Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data

ALEXANDER MILNE, Xianghua Xie

, Gary Tam

Lecture Notes in Computer Science, Volume: 15656, Pages: 302 - 314

Swansea University Authors: ALEXANDER MILNE, Xianghua Xie , Gary Tam

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DOI (Published version): 10.1007/978-3-032-07343-3_24

Published in:	Lecture Notes in Computer Science
ISBN:	9783032073426 9783032073433
ISSN:	0302-9743 1611-3349
Published:	Cham Springer Nature Switzerland 2026
Online Access:	Check full text
URI:	https://cronfa.swan.ac.uk/Record/cronfa69563

first_indexed	2025-05-23T12:21:22Z
last_indexed	2026-01-08T05:18:13Z
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title	Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data
spellingShingle	Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data ALEXANDER MILNE Xianghua Xie Gary Tam
title_short	Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data
title_full	Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data
title_fullStr	Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data
title_full_unstemmed	Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data
title_sort	Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data
author_id_str_mv	c6da9da5c99754b6850e882895b86ca5 b334d40963c7a2f435f06d2c26c74e11 e75a68e11a20e5f1da94ee6e28ff5e76
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author	ALEXANDER MILNE Xianghua Xie Gary Tam
author2	ALEXANDER MILNE Xianghua Xie Gary Tam
format	Journal article
container_title	Lecture Notes in Computer Science
container_volume	15656
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institution	Swansea University
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issn	0302-9743 1611-3349
doi_str_mv	10.1007/978-3-032-07343-3_24
publisher	Springer Nature Switzerland
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published_date	2026-01-02T05:29:59Z
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Pretraining Techniques for Steel Surface Roughness Prediction with Long Thin Spatial Industrial Data

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