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Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification

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Bibliographic Details
Published in:Applied Computational Intelligence and Soft Computing
Format: Online Article RSS Article
Published: 2026
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container_title Applied Computational Intelligence and Soft Computing
description
discipline_display Mathematics
discipline_facet Mathematics
format Online Article
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genre Journal Article
id rss_article:62728
institution FRELIP
journal_source_facet Applied Computational Intelligence and Soft Computing
last_indexed 2026-06-20T21:27:34.457Z
publishDate 2026
publishDateSort 2026
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spellingShingle Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification
Mathematics
General
Mathematics
sub_discipline_display General
sub_discipline_facet General
subject_display Mathematics
General
Mathematics
subject_facet Mathematics
General
Mathematics
title Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification
title_alt Enfoque híbrido CNN-Transformer mejorado con atención usando ResNeXt-50 y Swin Transformer para clasificación de enfermedades de hojas de manzano
Approche hybride CNN-Transformer améliorée par l'attention utilisant ResNeXt-50 et Swin Transformer pour la classification des maladies des feuilles de pommier
Abordagem Híbrida CNN-Transformer Aprimorada por Atenção Usando ResNeXt-50 e Swin Transformer para Classificação de Doenças em Folhas de Maçã
title_auth Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification
title_es_txt Enfoque híbrido CNN-Transformer mejorado con atención usando ResNeXt-50 y Swin Transformer para clasificación de enfermedades de hojas de manzano
title_fr_txt Approche hybride CNN-Transformer améliorée par l'attention utilisant ResNeXt-50 et Swin Transformer pour la classification des maladies des feuilles de pommier
title_full Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification
title_fullStr Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification
title_full_unstemmed Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification
title_pt_txt Abordagem Híbrida CNN-Transformer Aprimorada por Atenção Usando ResNeXt-50 e Swin Transformer para Classificação de Doenças em Folhas de Maçã
title_short Attention-Enhanced Hybrid CNN–Transformer Approach Using ResNeXt-50 and Swin Transformer for Apple Leaf Disease Classification
title_sort attention-enhanced hybrid cnn–transformer approach using resnext-50 and swin transformer for apple leaf disease classification
topic Mathematics
General
Mathematics
url https://www.hindawi.com/journals/acisc/2026/9966874/