Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Murat, Erişoğlu"'
Autor:
Murat Erişoğlu, Yasin Asar
Publikováno v:
Journal of Data Science. 14:33-52
Publikováno v:
Toprak Bilimi ve Bitki Besleme Dergisi. 7:128-138
Bu çalışmada ülkemiz için stratejik öneme sahip şekerpancarı bitkisinin yaprak %N sınıflarının belirlenmesine yönelik hiperspektral yansımalar kullanılarak bir yöntem geliştirilmesi amaçlanmıştır. Bu amaçla 3 farklı vejetasyon
Publikováno v:
Volume: 39, Issue: 3 799-811
Cumhuriyet Science Journal
Cumhuriyet Science Journal, Vol 39, Iss 3, Pp 799-811 (2018)
Cumhuriyet Science Journal
Cumhuriyet Science Journal, Vol 39, Iss 3, Pp 799-811 (2018)
Normality is one of the main presuppositions instatistical tests. The multiplicity of the normality tests bring out anotherproblem of choosing the appropriate test for researchers. The free software Rwhich has a great popularity in the statistical an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4cb1394d34329a73f9e5b3740f1f7c6d
https://dergipark.org.tr/tr/pub/csj/issue/39357/426382
https://dergipark.org.tr/tr/pub/csj/issue/39357/426382
Autor:
Murat, Erişoğlu1 merisoglu@cu.edu.tr, Ülkü, Erişoğlu1 ugokal@cu.edu.tr, Tayfun, Servi2 sadullah@cu.edu.tr, Sadullah, Sakallıoğlu1 tservi@adiyaman.edu.tr
Publikováno v:
Pakistan Journal of Statistics. 2012, Vol. 28 Issue 1, p141-158. 18p. 8 Charts.
Publikováno v:
Doğuş Üniversitesi Dergisi, Vol 5, Iss 2, Pp 243-252 (2004)
Statistical methods are useful for characterizing seismic hazard because earthquakes are, for all practical purposes, random phenomena. They provide additional insights to the seismic hazard or risk problem. Seismic risk and earthquake occurrence pro
Autor:
Murat, Erişoğlu, Sakallıoğlu, Sadullah
URL: http://sjam.selcuk.edu.tr/sjam/article/view/242
Clustering is an important tool for a variety of applications in data mining, statistical data analysis, data compression, and vector quantization. The goal of clustering is to group data into
Clustering is an important tool for a variety of applications in data mining, statistical data analysis, data compression, and vector quantization. The goal of clustering is to group data into
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4883::a5afa2dedf06507840ed4b195ae43ebb
https://hdl.handle.net/20.500.12395/10486
https://hdl.handle.net/20.500.12395/10486
Publikováno v:
Volume: 5, Issue: 2 243-250
Doğuş Üniversitesi Dergisi
Doğuş Üniversitesi Dergisi
Statistical methods are useful for characterizing seismic hazard because earthquakes are, for all practical purposes, random phenomena. They provide additional insights to the seismic hazard or risk problem. Seismic risk and earthquake occurrence pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2edd1f15eae1f87ac4194d8a0e226029
https://avesis.yyu.edu.tr/publication/details/3a33eefb-686c-4669-b7fd-23a70ed39320/oai
https://avesis.yyu.edu.tr/publication/details/3a33eefb-686c-4669-b7fd-23a70ed39320/oai