Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Demet Canga"'
Autor:
Demet Canga, Mustafa Boğa
Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 8, Iss 8, Pp 1705-1712 (2020)
In the study, it has been demonstrated its use for a data set obtained from layer hens in a hybrid approach obtained by combining BAGGING and MARS. In the study, the data of 2018 of the egg production enterprise in a private livestock enterprise in t
Externí odkaz:
https://doaj.org/article/c6b66f410cea4e2f9213be62c3017895
Akademický článek
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Akademický článek
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Publikováno v:
Turkish Journal of Agriculture: Food Science and Technology, Vol 12, Iss 8, Pp 1408-1416 (2024)
The aim of this study was to define the growth by using nonlinear functions in intensive feedlot system with XGBoost algorithm. To achieve this aim, five nonlinear functions were implemented. To implementation of the study, Brown Swiss (n=41) and Sim
Externí odkaz:
https://doaj.org/article/938423187e364f19a262742bf6372744
Autor:
Demet Çanga
Publikováno v:
Journal of Agricultural Sciences, Vol 28, Iss 2, Pp 259-268 (2022)
This research was carried out with the purpose of estimating hot carcass weight by using parameters such as race, carcass weight and age with Multivariate Adaptive Regression Spline (MARS) algorithm. To achieve this goal, 700 cattle data belonging to
Externí odkaz:
https://doaj.org/article/82382b71bb834b98b9d72dec96e1af1a
Autor:
Hasan Önder, Beata Sitskowska, Burcu Kurnaz, Dariusz Piwczyński, Magdalena Kolenda, Uğur Şen, Cem Tırınk, Demet Çanga Boğa
Publikováno v:
Animals, Vol 13, Iss 19, p 3070 (2023)
The objective of our study was to evaluate the predictive ability of a multi-trait genomic prediction model that accounts for interactions between marker effects to estimate heritability and genetic correlations of traits including 305-day milk yield
Externí odkaz:
https://doaj.org/article/53df93f86b0e4e2ab29f6a1ee28ee252
Publikováno v:
Veterinary Sciences, Vol 10, Iss 1, p 32 (2023)
Deep learning algorithms can now be used to identify, locate, and count items in an image thanks to advancements in image processing technology. The successful application of image processing technology in different fields has attracted much attentio
Externí odkaz:
https://doaj.org/article/c7a30a67ff184bdc8fdebdf07c3e480c