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Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment

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Bibliographic Details
Published in:International Journal of Low-Carbon Technologies
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title International Journal of Low-Carbon Technologies
description
discipline_display Natural Sciences
discipline_facet Natural Sciences
format Online Article
RSS Article
genre Journal Article
id rss_article:17137
institution FRELIP
journal_source_facet International Journal of Low-Carbon Technologies
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
sub_discipline_display Natural Sciences — Mathematical Sciences
sub_discipline_facet Natural Sciences — Mathematical Sciences
subject_display Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
subject_facet Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
title Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
title_auth Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
title_full Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
title_fullStr Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
title_full_unstemmed Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
title_short Adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
title_sort adaptive convolution and lightweight transformer for image reconstruction of electric power equipment
topic Mathematics
Natural Sciences — Mathematical Sciences
Natural Sciences
url https://academic.oup.com/ijlct/article/doi/10.1093/ijlct/ctag015/8501070?rss=1