Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Mahmut Sinecen"'
Autor:
Sunday O. Peters, Kadir Kızılkaya, Mahmut Sinecen, Burcu Mestav, Aranganoor K. Thiruvenkadan, Milton G. Thomas
Publikováno v:
Animals, Vol 13, Iss 7, p 1272 (2023)
The predictive abilities and accuracies of genomic best linear unbiased prediction (GBLUP) and the Bayesian (BayesA, BayesB, BayesC and Lasso) genomic selection (GS) methods for economically important growth (birth, weaning, and yearling weights) and
Externí odkaz:
https://doaj.org/article/8c246c818c494e40a273da7ca3c66879
Publikováno v:
IEEE Access, Vol 8, Pp 147995-148006 (2020)
A simulation study was carried out to determine the genomic prediction performance of Artificial Neural Network model with 1 to 10 neurons (ANN-1-10) using 3361 SNP markers from BovineSNP50 (Infinium BeadChip, Illumina, San Diego, CA) on the first ch
Externí odkaz:
https://doaj.org/article/8d6e760c7b11491484c38fd5ec6e33fc
Autor:
Mahmut Sinecen
Publikováno v:
IEEE Access, Vol 7, Pp 79199-79210 (2019)
This study assessed the predictive ability of genomic best linear unbiased prediction (GBLUP) and Bayesian regularization for feed-forward neural networks (BRNN-s1-s3-neuron) with one to three neurons using genomic relationship based on single nucleo
Externí odkaz:
https://doaj.org/article/f478ddb14d3b431d8dc0263d57d80ec6
Publikováno v:
Gazi Üniversitesi Fen Bilimleri Dergisi, Vol 5, Iss 4, Pp 121-131 (2017)
Temperature, air quality index and ultraviolet index, which are basic air parameters, affect human health significantly. It is important to inform people about the precautions to be taken for these factors affecting human health at the primary level
Externí odkaz:
https://doaj.org/article/9c7465857621496895c6809f42162d2f
Autor:
Sunday O Peters, Mahmut Sinecen, George R Gallagher, Lauren A Pebworth, Suleima Jacob, Jason S Hatfield, Kadir Kizilkaya
Publikováno v:
PLoS ONE, Vol 14, Iss 2, p e0212545 (2019)
Evaluation of harvest data remains one of the most important sources of information in the development of strategies to manage regional populations of white-tailed deer. While descriptive statistics and simple linear models are utilized extensively,
Externí odkaz:
https://doaj.org/article/52c5bf6e11fa46f3b5ef01b88c4a8cc1
Autor:
Mahmut Sinecen, Metehan Makinacı
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 16, Iss 2, Pp 149-153 (2010)
Bu çalışmada, asfalt ve beton karışımlarında kullanılan doğal ve kırma taş agregaların görüntü işleme teknikleri kullanılarak elde edilen tanımlayıcı vektörlerinin yapay sinir ağları yardımıyla sınıflandırılması amaçlan
Externí odkaz:
https://doaj.org/article/3ace5c1e14c54b72b0be90c10f4c6e9c
Autor:
Mahmut SİNECEN, Metehan MAKİNACI
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 16, Iss 2, Pp 149-153 (2010)
In this paper, the aim is to classify natural or crushed aggregates by using concrete and asphalt mixes through Artificial Neural Networks. For classification, it was a used the feature vector which was calculated by using digital image processing te
Externí odkaz:
https://doaj.org/article/42e486c64827493082854fbf1e998a63
Autor:
Ahmet Özek, Mahmut Sinecen
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 10, Iss 3, Pp 353-358 (2004)
Kontrol sistemlerinde karşılaşılan en büyük problemlerden biri denetim mekanizmasına ait matematiksel modelin oluşturulmasının zor olmasıdır. Bu model oluşturulsa bile geleneksel mantık ile uygulamayı gerçekleştirmek çok karmaşık
Externí odkaz:
https://doaj.org/article/8ac7803c97924243a54764e9d40fa8ff
Autor:
Ahmet ÖZEK, Mahmut SİNECEN
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 10, Iss 3, Pp 353-358 (2004)
One of the main problems in control systems is the difficulty to form the mathematical model associated with the control mechanism. Even though this model can be formed, to realize the application with conventional logic may cause very complex proble
Externí odkaz:
https://doaj.org/article/4a424846d735458885b460ea3aa88476
Publikováno v:
J Anim Sci
Data for growth and carcass traits were obtained from 738 Brangus heifers (3/8 Brahman-Bos indicus × 5/8 Angus-Bos taurus) registered with International Brangus Breeders Association. Phenotypes included body weights (BW, WW, and YW) collected at bir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c925f5a99a59a7fea07e8b603376a10a
https://doi.org/10.1093/jas/skab235.421
https://doi.org/10.1093/jas/skab235.421