Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Serkan GUNAL"'
Autor:
Huseyin Gunduz, Serkan Gunal
Publikováno v:
PeerJ Computer Science, Vol 10, p e1970 (2024)
Diatoms are a type of algae with many species. Accurate and quick classification of diatom species is important in many fields, such as water quality analysis and weather change forecasting. Traditional methods for diatom classification, specifically
Externí odkaz:
https://doaj.org/article/0e859a86ae364422ba0ec118e759915b
Autor:
Mohamed Lemine Sidi, Serkan Gunal
Publikováno v:
Applied Sciences, Vol 13, Iss 18, p 10285 (2023)
Over the past decade, knowledge bases (KB) have been increasingly utilized to complete and enrich the representation of queries and documents in order to improve the document retrieval task. Although many approaches have used KB for such purposes, th
Externí odkaz:
https://doaj.org/article/5d3dea38698449d4b425dc11e7d8403f
Autor:
Muhammet Yasin PAK, Serkan GUNAL
Publikováno v:
Computer Systems Science and Engineering. 42:1215-1239
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a3e0ce88fed8b913ec6379833397180
https://doi.org/10.32604/csse.2022.023051
https://doi.org/10.32604/csse.2022.023051
Autor:
Efnan Sora Gunal, Mehmet Bilginer Gulmezoglu, Semih Ergin, Serkan Gunal, Alper Kursat Uysal, Selcan Kaplan Berkaya
Publikováno v:
Volume: 21, Issue: 2 350-365
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
Cardiac arrhythmia basically refers to abnormal activity of heart. Correct classification of cardiac arrhythmia is therefore crucial for appropriate treatment of heart diseases. In this paper, a novel approach is proposed for cardiac arrhythmia class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::73062ccb00c4e950a06b35f792b91cd5
https://doi.org/10.18038/estubtda.630634
https://doi.org/10.18038/estubtda.630634
Publikováno v:
Ecological Informatics. 64:101353
Honey bees are not only the fundamental producers of honey but also the leading pollinators in nature. While honey bees play such a vital role in the ecosystem, they also face a variety of threats, including parasites, ants, hive beetles, and hive ro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::510916dd6fae8595fe4643eb3ef906cd
https://doi.org/10.1016/j.ecoinf.2021.101353
https://doi.org/10.1016/j.ecoinf.2021.101353
Publikováno v:
Pattern Analysis and Applications. 21:221-231
WOS: 000425293800016
We present a high-speed method for triangular object detection. The proposed method utilizes the recently developed, real-time edge segment detection algorithm, Edge Drawing; hence, the name EDTriangles, which consists of a
We present a high-speed method for triangular object detection. The proposed method utilizes the recently developed, real-time edge segment detection algorithm, Edge Drawing; hence, the name EDTriangles, which consists of a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a1892ad639ce8e804d00e2b00c93e06
https://doi.org/10.1007/s10044-017-0623-x
https://doi.org/10.1007/s10044-017-0623-x
Autor:
Serkan Gunal, Muhammet Yasin Pak
Publikováno v:
Anadolu University Journal of Science and Technology. A : Applied Sciences and Engineering, Vol 18, Iss 1, Pp 218-224 (2017)
Volume: 18, Issue: 1 218-224
Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering
Volume: 18, Issue: 1 218-224
Anadolu University Journal of Science and Technology A-Applied Sciences and Engineering
Author identification, one of the popular topics in text classification and natural language processing, basically aims to determine the author of a given text through various analyses. In the literature, different text representation approaches and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52ac353d4fc2605e7d7f64a4e599b19f
http://dergipark.gov.tr/aubtda/issue/28283/270276?publisher=anadolu
http://dergipark.gov.tr/aubtda/issue/28283/270276?publisher=anadolu
Publikováno v:
Volume: 20, Issue: 4 524-531
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
Eskişehir Technical University Journal of Science and Technology A-Applied Sciences and Engineering
Myocardial perfusion imaging (MPI) is a widely used and non-invasive diagnostic method for the detection of patients with suspected or known ischemic heart disease. MPI test is commonly realized by single photon emission computed tomography (SPECT).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2089fd322bc7fe035189c31b7dd42742
https://dergipark.org.tr/tr/pub/estubtda/issue/51222/581811
https://dergipark.org.tr/tr/pub/estubtda/issue/51222/581811
Publikováno v:
Expert Systems with Applications. 48:67-75
WOS: 000369190300007
Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and r
Automatic traffic sign detection and recognition play crucial roles in several expert systems such as driver assistance and autonomous driving systems. In this work, novel approaches for circular traffic sign detection and r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75831684c1afa23410be79ed8ec57925
https://doi.org/10.1016/j.eswa.2015.11.018
https://doi.org/10.1016/j.eswa.2015.11.018
Publikováno v:
Computers in Biology and Medicine. 123:103893
Objective The main goal of this work is to develop computer-aided classification models for single-photon emission computed tomography (SPECT) myocardial perfusion imaging (MPI) to identify perfusion abnormalities (myocardial ischemia and/or infarcti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e490468e0f090ea13c905013722e0bf
https://doi.org/10.1016/j.compbiomed.2020.103893
https://doi.org/10.1016/j.compbiomed.2020.103893