Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

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

Saved in:
Bibliographic Details
Published in:Balkan Journal of Electrical and Computer Engineering
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553618879152128
collection WordPress RSS
FRELIP Feed Integration
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
last_indexed 2026-06-20T21:39:49.249Z
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
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_alt Sistema híbrido CNN–ML para la identificación del nivel de velocidad del viento en terreno complejo: un estudio de caso de Maden, Turquía
Système hybride CNN–ML pour l'identification du niveau de vitesse du vent en terrain complexe : une étude de cas de Maden, Turquie
Sistema híbrido CNN–ML para identificação do nível de velocidade do vento em terreno complexo: um estudo de caso de Maden, Turquia
title_auth Hybrid CNN–ML System for Wind Speed Level Identification in Complex Terrain: A Case Study from Maden, Turkey
title_es_txt Sistema híbrido CNN–ML para la identificación del nivel de velocidad del viento en terreno complejo: un estudio de caso de Maden, Turquía
title_fr_txt Système hybride CNN–ML pour l'identification du niveau de vitesse du vent en terrain complexe : une étude de cas de Maden, Turquie
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_pt_txt Sistema híbrido CNN–ML para identificação do nível de velocidade do vento em terreno complexo: um estudo de caso de Maden, Turquia
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