Zobrazeno 1 - 10
of 21
pro vyhledávání: '"KÜYÜK, Hüseyin Serdar"'
Autor:
Göktepe, Fatih1 fgoktepe@bartin.edu.tr, Küyük, Hüseyin Serdar2 skuyuk@sakarya.edu.tr, Çelebi, Erkan2 ecelebi@sakarya.edu.tr
Publikováno v:
Sakarya University Journal of Science (SAUJS) / Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2016, Vol. 20 Issue 3, p451-462. 12p.
Autor:
Harman, Engin, Küyük, Hüseyin Serdar
Publikováno v:
Sakarya University Journal of Science (SAUJS) / Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2016, Vol. 20 Issue 1, p23-31. 9p.
Publikováno v:
Politeknik Dergisi
Günümüzde yapıların depreme karşı tasarımında kullanılan geleneksel yöntemlerde, yapının oturduğu zemin ortamının şekil değiştirmediği varsayımı ile yapının temelinden zemine ankastre bağlı olduğu kabul edilir. Depremden do
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::98369ba8324a99f8a845f87f17bab96f
https://dergipark.org.tr/tr/pub/politeknik/issue/33083/368158
https://dergipark.org.tr/tr/pub/politeknik/issue/33083/368158
In this study, we explore three different strategies for such situation; 1) Extreme approach that reprovisions all connections in danger with full or degraded bandwidth, 2) relax approach that reprovisions only critical connections, and 3) careful ap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::58611c3d7cd1a05423303f6edeb4573a
https://hdl.handle.net/20.500.12619/67165
https://hdl.handle.net/20.500.12619/67165
Two unsupervised pattern recognition algorithms, k-means, and Gaussian mixture model (GMM) analyses have been applied to classify seismic events in the vicinity of Istanbul. Earthquakes, which are occurring at different seismicity rates and extension
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1836f0df0a9788ebda802f52f6c9fb0d
https://hdl.handle.net/20.500.12619/67299
https://hdl.handle.net/20.500.12619/67299
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 11, Iss 1, Pp 93-100 (2011)
The results of the application of an unsupervised learning (neural network) approach comprising a Self Organizing Map (SOM), to distinguish micro-earthquakes from quarry blasts in the vicinity of Istanbul, Turkey, are presented and discussed. The SOM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f12469d87fe086741275c6ac10f19aff
https://hdl.handle.net/20.500.12619/67264
https://hdl.handle.net/20.500.12619/67264
Autor:
Küyük, Hüseyin Serdar
ÖZET Kesme donatışız betonarme kirişlerin kesme davranışlarının incelenmesi ve kesme dayanımlarının belirlenmesi bu çalışmanın başlıca amacıdır. Söz konusu kirişlerin kesme dayanımlarının belirlenebilmesi için çeşitli beto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_____10208::9c13c8aba037528cababffcfc77b3086
https://acikbilim.yok.gov.tr/handle/20.500.12812/391534
https://acikbilim.yok.gov.tr/handle/20.500.12812/391534
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
H. Serdar Kuyuk
Publikováno v:
Sadhana. 40:295-306
Time-frequency analysis of earthquake records using Fourier transform is a fundamental, reliable and useful tool in earthquake engineering and engineering seismology. It will be however no longer functional if the frequency variation is analysed in t