Zobrazeno 1 - 10 of 19 pro vyhledávání: '"Zühal Kurt"'
1
Türkiye'de Işık Kirliliği
Autor: Nazım AKSAKER, Sinan Kaan YERLİ, Zühal KURT, Mehmet Akif ERDOĞAN
Publikováno v: Turkish Journal of Astronomy and Astrophysics.
Türkiye'de ve gözlemevlerinde ışık kirliliği, https://www.astrogis.org, astroGIS veritabanı kullanılarak 2012--2020 yılları arasında incelenmiştir. 2019 yılında Türkiye'den uzaya salınan toplam enerji 2012 yılına göre %80 artmışt
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b59b64e39f1106420990618edc4f2c35
https://doi.org/10.55064/tjaa.1200153
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2
Astronomi İçin Antarktika’da Yer Seçimi
Autor: Zühal KURT, Nazım AKSAKER, Sinan Kaan YERLİ, Mehmet Akif ERDOĞAN
Publikováno v: Turkish Journal of Astronomy and Astrophysics.
Antartika, sıradışı şartlara (düşük sıcaklık, düşük nem vb.) sahip uzun süren karanlık geceler ve kutup soğuğunda dedektörlerin düşük kara akımlarda kalmasına bağlı sürekli ve duyarlı gözlem imkanı nedeniyle astronomi aç
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7ecbeeed1eab9f62de92f81b35303598
https://doi.org/10.55064/tjaa.1200162
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4
Spam E-mail Classification Recurrent Neural Networks for Spam E-mail Classification on an Agglutinative Language
Autor: Zühal Kurt, Sahin Isik, Kemal Özkan, Yildiray Anagun
Publikováno v: International Journal of Intelligent Systems and Applications in Engineering; Vol. 8 No. 4 (2020); 221-227
In this study, we have provided an alternative solution to spam and legitimate email classification problem. The different deep learning architectures are applied on two feature selection methods, including the Mutual Information (MI) and Weighted Mu
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c3b25d1638afcf176adb76cc83cea59
https://doi.org/10.18201/ijisae.2020466316
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6
A Similarity-Inclusive Link Prediction Based Recommender System Approach
Autor: Kemal Özkan, Zühal Kurt, Ömer Nezih Gerek, Alper Bilge
Publikováno v: Elektronika ir Elektrotechnika, Vol 25, Iss 6, Pp 62-69 (2019)
Despite being a challenging research field with many unresolved problems, recommender systems are getting more popular in recent years. These systems rely on the personal preferences of users on items given in the form of ratings and return the prefe
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ddb116d4b02a4f62990f1d7d5998ee4b
http://eejournal.ktu.lt/index.php/elt/article/view/24828
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7
A Multi Source Graph-Based Hybrid Recommendation Algorithm
Autor: Zühal Kurt, Kemal Özkan, Ömer Nezih Gerek, Alper Bilge
Publikováno v: Trends in Data Engineering Methods for Intelligent Systems ISBN: 9783030793562
Images that widely exist on e-commerce sites, social networks, and many other applications are one of the most important information resources integrated into the recently deployed image-based recommender systems. In the latest studies, researchers h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::cbeb38dced564b444a2cd92fbc0eab1c
https://doi.org/10.1007/978-3-030-79357-9_28
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9
On Similarity Measures for a Graph-Based Recommender System
Autor: Alper Bilge, Ömer Nezih Gerek, Kemal Özkan, Zühal Kurt
Publikováno v: Communications in Computer and Information Science ISBN: 9783030302740
ICIST
Recommender systems are drawing increasing attention with several unresolved issues. These systems depend on personal user preferences on items via ratings and recommend items based on choices of similar users. A graph-based recommender system that h
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2732aeef076f54d0c33612e8f16bf935
https://doi.org/10.1007/978-3-030-30275-7_11
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