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Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis

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Published in:Discover AI
Format: Online Article RSS Article
Published: 2026
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container_title Discover AI
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discipline_display Engineering & Technology
discipline_facet Engineering & Technology
format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet Discover AI
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
subject_facet Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
title Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis
title_auth Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis
title_full Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis
title_fullStr Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis
title_full_unstemmed Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis
title_short Hybrid stacking of Squeeze Net features and ML models for accurate Alzheimer’s diagnosis
title_sort hybrid stacking of squeeze net features and ml models for accurate alzheimer’s diagnosis
topic Artificial Intelligence & Machine Learning
Computer Science & IT
Engineering & Technology
url https://link.springer.com/article/10.1007/s44163-026-00878-0