Ni(II)Pc ve CdSeS/ZnS Kuantum Nokta Katkılı Sıvı Kristal Yapıların Dielektrik Sabitinin Makine Öğrenmesi Algoritmaları ile Tahminlenmesi

Autor: Onur Uğurlu, Mustafa Aksoy, Gülnur Önsal

Publikováno v: Düzce Üniversitesi Bilim ve Teknoloji Dergisi, Vol 11, Iss 1, Pp 513-523 (2023)

Bu çalışmada, Ni(II)Pc (nikel(II)ftalosiyanin) ve CdSeS/ZnS (cadmium selenide sulfide/zinc sulfide) kuantum nokta katkılı 5CB (4-pentyl-4′-cyanobiphenyl) nematik sıvı kristal kompozit yapıların dielektrik özellikleri ile birlikte bu özel

Externí odkaz: https://doaj.org/article/ead6d571cfab48f3906ffb85efb8a053

Macar Algoritmasının Sıfırları Kapatma Alt Yordamı Üzerine

Autor: Murat Erşen BERBERLER, Onur UĞURLU, Gözde KIZILATEŞ

Publikováno v: Pamukkale University Journal of Engineering Sciences, Vol 18, Iss 2, Pp 85-94 (2012)

Macar algoritması bilgisayar bilimleri literatüründe en çok bilinen yöntemlerden birisidir. Bu yöntem ile maliyet matrisi her adımda sistematik bir şekilde yeni bir indirgenmiş matrise dönüştürülerek atama problemine çözüm getirilmek

Externí odkaz: https://doaj.org/article/4fb03f048c864006a1737f24556fae73

Minimum İsabet Kümesi Problemi için Aşamalı Arama Algoritması

Autor: Hilal Arslan, Deniz Türsel Eliiyi, Onur Uğurlu, Vahid Khalilpour Akram

Publikováno v: Volume: 23, Issue: 69 867-874
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi

Given a finite universe and a collection of the subsets of the universe, the minimum hitting set of the collection is the smallest subset of the universe that has non-empty intersection with each set in the collection. Finding the minimum hitting set

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::579ab43420e65d34d2551b03ca2cc589
https://doi.org/10.21205/deufmd.2021236914

Predicting severity of acute appendicitis with machine learning methods: a simple and promising approach for clinicians

Autor: Hilmi Yazici, Onur Ugurlu, Yesim Aygul, Mehmet Alperen Ugur, Yigit Kaan Sen, Mehmet Yildirim

Publikováno v: BMC Emergency Medicine, Vol 24, Iss 1, Pp 1-11 (2024)

Abstract Backgrounds Acute Appendicitis (AA) is one of the most common surgical emergencies worldwide. This study aims to investigate the predictive performances of 6 different Machine Learning (ML) algorithms for simple and complicated AA. Methods D

Externí odkaz: https://doaj.org/article/dab902ba849d4d40997ab7286455987c

A NEW HYBRID GENETIC ALGORITHM FOR VERTEX COVER PROBLEM

Autor: Onur UĞURLU

Publikováno v: Volume: 14, Issue: 3 277-282
Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering, Vol 14, Iss 3, Pp 277-282 (2015)

The minimum vertex cover problem belongs to the class of NP-compl ete graph theoretical problems. This paper presents a hybrid genetic algorithm to solve minimum ver tex cover problem. In this paper, it has been shown that when local optimization tec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::600b26e51ea8c878d3bec9d3876cce51
https://dergipark.org.tr/tr/pub/aubtda/issue/3039/42232