Zobrazeno 1 - 10 of 24 pro vyhledávání: '"Yuksel Celik"'
1
Akademický článek
An enhanced artificial bee colony algorithm based on fitness weighted search strategy
Autor: Yuksel Celik
Publikováno v: Automatika, Vol 62, Iss 3-4, Pp 300-310 (2021)
Artificial Bee Colony (ABC) algorithm is a meta-heuristic algorithm, is inspired by the bee’s food search behaviour based on swarm intelligence. Successful applications were performed on many optimization problems using this algorithm rising in pop
Externí odkaz: https://doaj.org/article/61755681e4d042e0802e734d9c33d8f0
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2
Akademický článek
An Improved Marriage in Honey Bees Optimization Algorithm for Single Objective Unconstrained Optimization
Autor: Yuksel Celik, Erkan Ulker
Publikováno v: The Scientific World Journal, Vol 2013 (2013)
Marriage in honey bees optimization (MBO) is a metaheuristic optimization algorithm developed by inspiration of the mating and fertilization process of honey bees and is a kind of swarm intelligence optimizations. In this study we propose improved ma
Externí odkaz: https://doaj.org/article/438c4c424b7c431cb3abf012edcf1673
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4
Classification of walnut varieties obtained from walnut leaf images by the recommended residual block based CNN model
Autor: Erdal BAŞARAN, YUKSEL CELIK, Alper Talha Karadeniz
Publikováno v: European Food Research and Technology. 249:727-738
Walnuts are widely used, although they come in a variety of types and qualities. It is essential to choose the correct walnut variety with the necessary ecological characteristics to continue the production of walnut fruit, which has positive benefit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3213a0beb1c33fd7f8e1dd85d86c1bff
https://doi.org/10.1007/s00217-022-04168-8
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5
Identification of durum wheat grains by using hybrid convolution neural network and deep features
Autor: Erdal BAŞARAN, YUKSEL CELIK, Yusuf Dilay
Publikováno v: Signal, Image and Video Processing. 16:1135-1142
Convolution neural network (CNN) is a deep learning technique widely used in object identification and classification. One of the objects that are identified and classified is grain products. We proposed a hybrid CNN model to identify the dataset obt
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ae53ddf7c5cc0ddc13a8e52c072f95f
https://doi.org/10.1007/s11760-021-02094-y
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6
Konvolüsyonel Sinir Ağı Tabanlı YOLO Yöntemi ile Orta Kulak Otoskop Görüntülerinde Timpanik Membran Bölgesinin Belirlenmesi
Autor: Zafer Cömert, Mesut Toğaçar, Erdal Başaran, Subha Velappan, Yuksel Celik
Publikováno v: Volume: 22, Issue: 66 919-928
Dokuz Eylül Üniversitesi Mühendislik Fakültesi Fen ve Mühendislik Dergisi
Orta kulak iltihabından dolayı kulak zarında çeşitli deformasyonlar meydana gelmektedir. Hastalığın teşhis edilebilmesi için otoskop cihazı ile kulağa bakıldığı zaman zar bölgesine erişilmesi ve detaylı bir şekilde kulak zarının
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bd9b87727f3e03f6b0e7ffa6cd7d345
https://doi.org/10.21205/deufmd.2020226625
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7
Micro-expression recognition by using CNN features with PSO algorithm and SVM methods
Autor: Mehmet Zahit Uzun, Yuksel Celik, Erdal Basaran
WOS:000907630800019 This study proposes a framework for defining ME expressions, in which preprocessing, feature extraction with deep learning, feature selection with an optimization algorithm, and classification methods are used. CASME-II, SMIC-HS,
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf448e4da185db3efe7b6a9530ff6a60
https://hdl.handle.net/11492/6945
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8
Timpanik Membran Görüntü Özellikleri Kullanılarak Sınıflandırılması
Autor: Zafer Cömert, Yuksel Celik, Erdal Başaran
Publikováno v: Volume: 33, Issue: 2 441-453
Fırat Üniversitesi Mühendislik Bilimleri Dergisi
Orta kulak inflamasyonu olarak bilinen otitis media rahatsızlığının teşhis edilmesi için otoskop cihazı ile zar bölgesine bakılarak karar verilmektedir. Dokusal özellik çıkarma algoritmaları, görüntüler üzerinde bölge tespiti ve g
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::effe5b22de04f0f0672a27591ec4124d
https://hdl.handle.net/20.500.12501/3433
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9
Otitis media diagnosis model for tympanic membrane images processed in two-stage processing blocks
Autor: Erdal Başaran, Umit Budak, Zafer Cömert, Yuksel Celik, Abdulkasdir Şengür
Publikováno v: Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2 ISBN: 9780750334112
Modelling and Analysis of Active Biopotential Signals in Healthcare, Volume 2
[Abstract Not Available]
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53309d36edb8427e918aea645ea8d1b5
https://doi.org/10.1088/978-0-7503-3411-2ch14
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10
Anomaly Detection for Cyber-Security Based on Convolution Neural Network : A survey
Autor: Montdher Alabadi, Yuksel Celik
Publikováno v: 2020 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA).
The expanding growth of computer and communication technologies results in a vast amount of security concerns. Various types of cyber-security enabled mechanisms have been developed to limit these concerns. Anomaly detection is among these mechanisms
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3b0165af00ce007c48660e2a5e4c7779
https://doi.org/10.1109/hora49412.2020.9152899
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