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Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey

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Bibliographic Details
Published in:Balkan Journal of Electrical and Computer Engineering
Format: Online Article RSS Article
Published: 2026
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container_title Balkan Journal of Electrical and Computer Engineering
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:77994
institution FRELIP
journal_source_facet Balkan Journal of Electrical and Computer Engineering
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
title_auth Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
title_full Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
title_fullStr Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
title_full_unstemmed Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
title_short Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
title_sort hybrid cnn–ml system for wind speed level identification in complex terrain: a case study from maden, turkey
topic Computer Science
General
Computer Science
url https://dergipark.org.tr/en/pub/bajece/article/1820323%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20%20