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R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG

Cheng Cheng Orcid Logo

Swansea University Author: Cheng Cheng Orcid Logo

Published:
URI: https://cronfa.swan.ac.uk/Record/cronfa71132
first_indexed 2025-12-11T16:01:33Z
last_indexed 2026-03-11T05:33:56Z
id cronfa71132
recordtype SURis
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spelling 2026-03-10T11:00:48.1261191 v2 71132 2025-12-11 R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG 11ddf61c123b99e59b00fa1479367582 0000-0003-0371-9646 Cheng Cheng Cheng Cheng true false 2025-12-11 MACS Journal Article 0 0 0 0001-01-01 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2026-03-10T11:00:48.1261191 2025-12-11T14:38:28.5549458 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Cheng Cheng 0000-0003-0371-9646 1
title R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG
spellingShingle R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG
Cheng Cheng
title_short R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG
title_full R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG
title_fullStr R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG
title_full_unstemmed R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG
title_sort R2CMASleepNet: A Model Based on CNN and Multiple Attention for Sleep Stage Classification with EEG
author_id_str_mv 11ddf61c123b99e59b00fa1479367582
author_id_fullname_str_mv 11ddf61c123b99e59b00fa1479367582_***_Cheng Cheng
author Cheng Cheng
author2 Cheng Cheng
format Journal article
institution Swansea University
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 0001-01-01T05:37:48Z
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score 11.099917

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