A Sound-Based Monitoring and Evaluation System for Small-Scale Dairy Operations

Autor: KIZIL, Ünal, AKSU, Sefa, KINACI, A. Cumhur, BİLGÜCÜ, Ertuğrul, ŞENTÜRKLÜ, Songül

Publikováno v: Volume: 8, Issue: 3 380-390
Journal of Advanced Research in Natural and Applied Sciences

Continuous monitoring of livestock operations is vitally important for a sustainable production system. Monitoring systems based on cameras are not sufficient in livestock barns since they require visual inspection and ignore vocal conditions within

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4e39863681aaf30dfe44640544f4c6d
https://doi.org/10.28979/jarnas.1081753

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Çizge Veri Tabanlarının Yapay Sinir Ağları İçin Kullanımı

Autor: ÖZDEMİR, Doğa Barış, KINACI, Ahmet Cumhur

Publikováno v: Volume: 7, Issue: 1 12-34
Journal of Advanced Research in Natural and Applied Sciences

Storing and using trained artificial neural network (ANN) models face technical difficulties. These models are usually stored as files and cannot be run directly. An artificial neural network can be structurally expressed as a graph. Therefore, it wo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::d971c2273145e1e6241abadb9581e101
https://dergipark.org.tr/tr/pub/jarnas/issue/60593/890552

K-Ortalama Kümelerinin Sınıf Bilgisi Olarak Karar Ağacı Oluşturmada Kullanılması ve Glokom Çoklu Sınıflandırılmasında Başarıma Etkisi

Autor: YÜCEBAŞ, Sait Can, KINACI, Ahmet Cumhur

Publikováno v: Volume: 4, Issue: 2 747-755
Düzce Üniversitesi Bilim ve Teknoloji Dergisi

In this study a model of K-Means - Decision Tree is presented to increase the multiclassification performance. This model is tested on glaucoma dataset, the accuracy and the are under ROC curve is calculated as 0.808, 0.839 respectively.
Bu çal

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::53ee82a0dab57ee2a444ebb7ac1c47e7
https://dergipark.org.tr/tr/pub/dubited/issue/24379/258422

Cost Reduction in Thyroid Diagnosis: A Hybrid Model with SOM and C4.5 Decision Trees.

Autor: Kinaci, Ahmet Cumhur, Yucebas, Sait Can

Publikováno v: Neural Information Processing: 22nd International Conference, ICONIP 2015, Istanbul, Turkey, November 9-12, 2015, Proceedings, Part II; 2015, p440-448, 9p