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The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process

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Published in:Electronics Letters
Format: Online Article RSS Article
Published: 2026
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container_title Electronics Letters
description
discipline_display Technology & Engineering
discipline_facet Technology & Engineering
format Online Article
RSS Article
genre Journal Article
id rss_article:31061
institution FRELIP
journal_source_facet Electronics Letters
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
sub_discipline_display Technology & Engineering — Aerospace & Applied Tech
sub_discipline_facet Technology & Engineering — Aerospace & Applied Tech
subject_display Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
subject_facet Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
title The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process
title_auth The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process
title_full The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process
title_fullStr The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process
title_full_unstemmed The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process
title_short The Multivariate Long‐Sequence Model SLM‐Crossformer Enhances the Accuracy of Quality Prediction in the Loose Rehumidification Process
title_sort the multivariate long‐sequence model slm‐crossformer enhances the accuracy of quality prediction in the loose rehumidification process
topic Electronics
Technology & Engineering — Aerospace & Applied Tech
Technology & Engineering
url https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/ell2.70576?af=R