[HTML][HTML] Estimation of excess air coefficient on coal combustion processes via gauss model and artificial neural network

S Golgiyaz, MF Talu, M Daşkın, C Onat - Alexandria Engineering Journal, 2022 - Elsevier
It is no doubt that the most important contributing cause of global efficiency of coal fired
thermal systems is combustion efficiency. In this study, the relationship between the flame …

Doğa ve insan bilimlerinde yapay zekâ uygulamaları

A Süslü - Akademia Doğa ve İnsan Bilimleri Dergisi, 2019 - dergipark.org.tr
İnsan, tarih boyunca duyularıyla hissettiği her şeye hükmetmeye çalışmıştır. Düşüncenin
işleyişi, zihnin gizemli duruşu ve metafizik varlıkların olasılığı gibi düşünceler ise, sanatçıları …

Determination of the geographic origin of 52 honey samples based on the assessment of anionic content profiling with a new algorithm using monolithic column …

H Aslan, Z Günyel, T Sarıkaya, S Golgiyaz… - Journal of Food …, 2022 - Wiley Online Library
In the present study, a new micellar nano LC‐UV was, for the first time, reported for the
separation and determination of five anions (chloride, nitrite, bromide, sulfate and nitrate) in …

Rapid characterization of cell and bacteria counts using computer vision

F Akkoyun, A Özçelik - Türk Doğa ve Fen Dergisi, 2021 - dergipark.org.tr
The cell counting process is an important procedure for various cell and cell-related
research applications. Many life science-related studies examine the cells to compare …

An artificial intelligence regression model for prediction of nox emission from flame image

S Golgiyaz, M Daşkın, C Onat… - Journal of Soft Computing …, 2022 - dergipark.org.tr
In this study, NOx emission has been estimated by processing the flame image of visible
wavelength and its experimental verification has been presented. The experimental study …

Flame stability measurement through image moments and texture analysis

S Golgiyaz, MS Cellek, M Daskin… - Measurement Science …, 2023 - iopscience.iop.org
In this article, the first two moments of the image, mean and standard deviation, uniform local
binary pattern (LBP) texture analysis methods were experimentally investigated in coal-fired …

Prediction of combustion states from flame image in a domestic coal burner

C Onat, M Daşkin, S Toraman… - Measurement Science …, 2021 - iopscience.iop.org
Coal is still a strategic fuel for many developing countries. The environmental impact of
emissions resulting from the widespread use of coal worldwide is a matter of serious debate …

Production of disease-free olive seedlings with artificial intelligence and biotechnological methods

S Galatali, MA Balci, O Akguller, E Kaya - European Journal of Biology and …, 2021 - ejbio.org
It is an inevitable fact that the applications of machine learning and artificial intelligence
technologies in agricultural biotechnology approaches, whose applications are increasing …

Unburnt carbon estimation through flame image and gauss process regression

S Golgiyaz, U Demir, MS Cellek, M Daşkın… - Advances in Materials …, 2024 - Taylor & Francis
The presence of unburned carbon in coal-burning systems undoubtedly causes a loss in the
amount of energy that can be obtained from the system, and also reveals an inadequacy in …

Effects of Different Turbulators on Heat Transfer in Smoke Tube Boilers and Modeling of These Effects with Machine Learning Algorithms

A Çıtlak, AB Demirpolat - Journal of the Institute of Science and …, 2021 - dergipark.org.tr
In smoke pipe boilers, the thermal efficiency of the boiler depends on the smoke pipe
diameter, smoke pipe length and the heat transfer between the smoke pipe and the outlet …