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pro vyhledávání: '"Berkay Aydın"'
Autor:
Berkay Aydın
Publikováno v:
Ankara Avrupa Çalışmaları Dergisi, Vol 18, Iss 1, Pp 71-108 (2019)
1960'ların ortalarında Türkiye'den kitlesel emek göçü alan İsveç, sonraki yıllarda da çeşitli sebeplerle Türkiye'den göç almaya devam etmiştir. Bugün yaklaşık yüz bin civarında Türkiye kökenli göçmenin yaşadığı İsveç'te
Externí odkaz:
https://doaj.org/article/092cd673a80948d1a45f7c68e1b638fe
Autor:
Mustafa Berkay Aydın
Publikováno v:
Ankara Araştırmaları Dergisi, Vol 6, Iss 1, Pp 1-22 (2018)
MKE Ankaragücü İstanbul’da kurulmuş ve daha sonra Ankara’ya taşınmış bir futbol kulübüdür. Kulübün İstanbul’dan Ankara’ya taşınması Kurtuluş Savaşı’na dayanır. İmalat-ı Harbiye işçileri, öğrencileri ve ustaları
Externí odkaz:
https://doaj.org/article/00e43e27f6dd46c1b37d7fdf45b8a70c
Autor:
Berkay Aydın
Publikováno v:
Volume: 18, Issue: 1 71-108
Ankara Avrupa Çalışmaları Dergisi
Ankara Avrupa Çalışmaları Dergisi
1960'ların ortalarında Türkiye'den kitlesel emek göçü alan İsveç, sonraki yıllarda da çeşitli sebeplerle Türkiye'den göç almaya devam etmiştir. Bugün yaklaşık yüz bin civarında Türkiye kökenli göçmenin yaşadığı İsveç'te
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f438818792bca6a184b473b22639e95
https://dergipark.org.tr/tr/pub/aacd/issue/47644/601860
https://dergipark.org.tr/tr/pub/aacd/issue/47644/601860
Autor:
Berkay Aydin, Rafal. A Angryk
This SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data a
Publikováno v:
The Astrophysical Journal, Vol 974, Iss 2, p 188 (2024)
Solar energetic particle (SEP) events are one of the most crucial aspects of space weather that require continuous monitoring and forecasting using robust methods. We demonstrate a proof of concept of using a data-driven supervised classification fra
Externí odkaz:
https://doaj.org/article/f5931875b1a642238771d8210a09ce49
Publikováno v:
The Astrophysical Journal, Vol 966, Iss 2, p 165 (2024)
Solar energetic particle (SEP) events are one of the most crucial aspects of space weather that require continuous monitoring and forecasting. Their prediction depends on various factors, including source eruptions. In the present work, we use the Ge
Externí odkaz:
https://doaj.org/article/466715412ac046478ea9088d60fab176
Publikováno v:
Frontiers in Astronomy and Space Sciences, Vol 9 (2022)
Solar flare prediction is a central problem in space weather forecasting and has captivated the attention of a wide spectrum of researchers due to recent advances in both remote sensing as well as machine learning and deep learning approaches. The ex
Externí odkaz:
https://doaj.org/article/6b45f5c1f9ef46ddb4ec9bd3755d2565
Autor:
Anli Ji, Xumin Cai, Nigar Khasayeva, Manolis K. Georgoulis, Petrus C. Martens, Rafal A. Angryk, Berkay Aydin
Publikováno v:
The Astrophysical Journal Supplement Series, Vol 265, Iss 1, p 28 (2023)
Magnetic polarity inversion lines (PILs) detected in solar active regions have long been recognized as arguably the most essential feature for triggering instabilities such as flares and eruptive events (i.e., eruptive flares and coronal mass ejectio
Externí odkaz:
https://doaj.org/article/3ab52925c6644baaada588e34b1ff222
Publikováno v:
SoftwareX, Vol 12, Iss , Pp 100518- (2020)
We developed a domain-independent Python package to facilitate the preprocessing routines required in preparation of any multi-class, multivariate time series data. It provides a comprehensive set of 48 statistical features for extracting the importa
Externí odkaz:
https://doaj.org/article/dab28fbdd76a4ac49b5fff615e2c0866