Zobrazeno 1 - 10
of 97
pro vyhledávání: '"A. Batur Çolak"'
Autor:
Collince Omondi Awere, Kasinathan Rakkammal, Andaç Batur Çolak, Mustafa Bayrak, Ogolla Fredrick, Valentine Chikaodili Anadebe, Manikandan Ramesh
Publikováno v:
Current Plant Biology, Vol 40, Iss , Pp 100423- (2024)
Several factors interact to regulate direct in vitro shoot regeneration. Optimization of de novo direct regeneration is a primary prerequisite for the success of genetic transformation experiments. However, achieving an optimized protocol is typicall
Externí odkaz:
https://doaj.org/article/f11610bc41304f30bc3a537c9993c2b5
Autor:
Awere, Collince Omondi, Sneha, Anbalagan, Rakkammal, Kasinathan, Muthui, Martin Mwaura, Kumari R, Anitha, Govindan, Suresh, Batur Çolak, Andaç, Bayrak, Mustafa, Muthuramalingam, Pandiyan, Anadebe, Valentine Chikaodili, Archana, Pandi, Sekar, Chinnathambi, Ramesh, Manikandan
Publikováno v:
In Plant Physiology and Biochemistry November 2024 216
Autor:
Oznur Oztuna Taner, Andaç Batur Çolak
Publikováno v:
Frontiers in Sustainable Food Systems, Vol 8 (2024)
This study models milk product processing and sustainable of the shelf-life extension in a dairy factory using artificial intelligence. The Cappadocia dairy factory was used to study chemical processes and computational system modeling and simulation
Externí odkaz:
https://doaj.org/article/45a0e13472a84234817fb6b9d9d46e81
Publikováno v:
Case Studies in Thermal Engineering, Vol 54, Iss , Pp 103995- (2024)
The formulation of heat transfer in non-Newtonian fluid models remains a topic of great interest for researchers. The ultimate flow differential equations in this direction are non-linear and hence difficult to solve analytically. Therefore, we offer
Externí odkaz:
https://doaj.org/article/503b04c3f5dd437abde1c4139bf1f093
Publikováno v:
Artificial Intelligence in the Life Sciences, Vol 4, Iss , Pp 100082- (2023)
The core objective of this research is to describe the behavior of the distribution using the MLE method to estimate its parameters, as well as to determine the optimal Artificial Neural Network method by comparing it to the maximum likelihood estima
Externí odkaz:
https://doaj.org/article/9907b8f6f9cd499d8559888b9eb0ba2e
Autor:
DURMAZ, Savaş1, BATUR ÇOLAK, Andaç2, MERCAN, Hatice3 hmercan@yildiz.edu.tr, DALKILIÇ, Ahmet Selim1
Publikováno v:
Journal of Thermal Engineering. Nov2023, Vol. 9 Issue 6, p1655-1666. 12p.
Autor:
Shafiq, Anum, Batur Çolak, Andaç, Naz Sindhu, Tabassum, Ahmad Lone, Showkat, Alsubie, Abdelaziz, Jarad, Fahd
Publikováno v:
In Results in Physics July 2022 38
Publikováno v:
Case Studies in Thermal Engineering, Vol 42, Iss , Pp 102713- (2023)
Shell and helically coiled tube heat exchangers (SHCTHEXs) are heat exchangers that only take up a small space and enable greater heat transfer area compared to traditional models. Information on 21 different SHCTHEXs obtained from catalog was consid
Externí odkaz:
https://doaj.org/article/a03f859c2b084487839c9491e211f830
Publikováno v:
Case Studies in Thermal Engineering, Vol 39, Iss , Pp 102391- (2022)
Typically, success in the estimation of machine learning is expected to rise with increasing input parameters, whereas the noise issue may rarely arise owing to redundant input factors undesirably influencing the learning algorithm. The parameters su
Externí odkaz:
https://doaj.org/article/93ec738269114b23a5c728f044ea55e4
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-21 (2021)
Abstract In current investigation, a novel implementation of intelligent numerical computing solver based on multi-layer perceptron (MLP) feed-forward back-propagation artificial neural networks (ANN) with the Levenberg–Marquard algorithm is provid
Externí odkaz:
https://doaj.org/article/dff5239f9d1c458b9c6f776c3a653115