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A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning

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Bibliographic Details
Published in:International Journal of Wireless and Microwave Technologies
Format: Online Article RSS Article
Published: 2026
Subjects:
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container_title International Journal of Wireless and Microwave Technologies
description
discipline_display Electronics
discipline_facet Electronics
format Online Article
RSS Article
genre Journal Article
id rss_article:74305
institution FRELIP
journal_source_facet International Journal of Wireless and Microwave Technologies
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
Electronics
General
Electronics
sub_discipline_display General
sub_discipline_facet General
subject_display Electronics
General
Electronics
Electronics
General
Electronics
subject_facet Electronics
General
Electronics
title A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
title_auth A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
title_full A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
title_fullStr A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
title_full_unstemmed A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
title_short A Three-Level Model for Detecting and Identifying Aviation Objects using Deep Learning
title_sort a three-level model for detecting and identifying aviation objects using deep learning
topic Electronics
General
Electronics
url https://www.mecs-press.org/ijwmt/ijwmt-v16-n3/v16n3-18.html