Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Sinem Kulluk"'
Autor:
Gökhan Üvenç, Sinem Kulluk
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 26, Iss 4, Pp 737-748 (2020)
Hizmet kalitesini arttırmak, günümüzde işletmeler için her zamankinden daha fazla önem arz etmektedir. Bununla beraber hizmet sektöründe, hizmet kalitesine etki eden faktörler hizmetin türüne ve yapısına göre değişkenlik göstermekte
Externí odkaz:
https://doaj.org/article/625e7621262c4c29acb4efe9d44829b0
Autor:
Burak GÜLMEZ, Sinem KULLUK
Publikováno v:
Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi. 38:2279-2290
Türkiye’de ikinci el araç piyasası her zaman hareketli olmuştur. İkinci el araç piyasasında marka, model, yakıt türü gibi özelliklerin ne kadar yoğunlukta olduğu, ne kadar fiyata etki ettiği gibi faktörler analiz edilerek, bu bilgile
Publikováno v:
Journal of the Operational Research Society. :1-15
© Operational Research Society 2022.Although railway systems have been widely used in public transportation for several years, crew scheduling research focuses on airline operations. Since the crew costs constitute the critical part of the operation
Publikováno v:
International Journal of Rail Transportation. 10:606-630
© 2021 Informa UK Limited, trading as Taylor & Francis Group.Rail systems are preferred to find sustainable solutions to traffic problems in cities with high population density. To increase the use of public transport without reducing service qualit
Clustering is one of the data mining methods that partition large-sized data into subgroups according to their similarities. K-means clustering algorithm works well in spherical or convex data distribution of large-sized data sets. Most of the algori
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02fff1aa9737d3c674d1fe7d2b8e15b1
https://avesis.erciyes.edu.tr/publication/details/6450be8f-7fb3-4b53-81d5-5310ab46ae41/oai
https://avesis.erciyes.edu.tr/publication/details/6450be8f-7fb3-4b53-81d5-5310ab46ae41/oai
© 2022, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.Passenger demand forecasting is of great importance to the on-demand ride systems. With the accurate forecasting of demand, it can be determined f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b2a295966e336fb0c40852152926fa0
https://avesis.kayseri.edu.tr/publication/details/e1bc0f98-60e5-47e0-a56f-5b9882728792/oai
https://avesis.kayseri.edu.tr/publication/details/e1bc0f98-60e5-47e0-a56f-5b9882728792/oai
Autor:
Sinem Kulluk, Gökhan Üvenç
Publikováno v:
Pamukkale University Journal of Engineering Sciences. 26:737-748
Hizmet kalitesini arttirmak, gunumuzde isletmeler icin her zamankinden daha fazla onem arz etmektedir. Bununla beraber hizmet sektorunde, hizmet kalitesine etki eden faktorler hizmetin turune ve yapisina gore degiskenlik gostermektedir. Kent ici topl
Autor:
Burak Gülmez, Sinem Kulluk
Artificial neural networks (ANNs) are one of the most widely used techniques for generalization, classification, and optimization. ANNs are inspired from the human brain and perform some abilities automatically like learning new information and makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d59719d8e3f3477d8a6a894b12ba8a1
https://doi.org/10.4018/978-1-7998-7705-9.ch051
https://doi.org/10.4018/978-1-7998-7705-9.ch051
Autor:
Sinem Kulluk, Burak Gülmez
Artificial neural networks (ANNs) are one of the most widely used techniques for generalization, classification, and optimization. ANNs are inspired from the human brain and perform some abilities automatically like learning new information and makin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4b375bca18b8ffd838475753fadd3691
https://avesis.erciyes.edu.tr/publication/details/08264226-4ac2-4565-8f8d-d9e76c5bef10/oai
https://avesis.erciyes.edu.tr/publication/details/08264226-4ac2-4565-8f8d-d9e76c5bef10/oai
Autor:
Sinem Kulluk, Lale Özbakır
Publikováno v:
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making ISBN: 9783030237554
In this study, a soft computing-based approach DIFACONN-miner II algorithm which simultaneously selects features, trains Artificial Neural Networks (ANNs) and extract classification rules is presented to classify the quality defect factors in a major
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc55062f470cd2740741e79f5be7f22
https://doi.org/10.1007/978-3-030-23756-1_136
https://doi.org/10.1007/978-3-030-23756-1_136