Browsing by Author "Onay, Funda Kutlu"
Now showing items 1-11 of 11
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Application of a metaheuristic gradient-based optimizer algorithm integrated into artificial neural network model in a local geoid modeling with global navigation satellite systems/leveling measurements
Konakoglu, Berkant; Aydemir, Salih Berkan; Onay, Funda Kutlu (Wiley, 2022)In the present article, the efficiency of a new hybrid learning method, named artificial neural network with gradient-based optimizer algorithm (ANN-GBO), is investigated to determine a local geoid. The outcomes of the ... -
Chaotic hunger games search optimization algorithm for global optimization and engineering problems
Onay, Funda Kutlu; Aydemir, Salih Berkan (Elsevier, 2022)Chaotic maps have the characteristics of ergodicity and non-repeatability. Owing to these properties, they provide fast convergence by effectively scanning the search space in a metaheuristic optimization algorithm. The ... -
CLASSIFICATION OF FUNCTIONAL NEAR-INFRARED IMAGING BASED HEMODYNAMIC PATTERNS RECORDED AT MENTAL ARITHMETİC AND RESTING
Onay, Funda Kutlu; Köse, Cemal (E-Journal of New World Sciences Academy, 2018)Functional near-infrared spectroscopy (fNIRS) is a non-invasive optical imaging technique used in brain-computer interface (BCI) systems. It is used to measure deoxyhemoglobin and oxyhemoglobin proportions that occur during ... -
Comparison of viscosity prediction capabilities of regression models and artificial neural networks
Gulum, Mert; Onay, Funda Kutlu; Bilgin, Atilla (PERGAMON-ELSEVIER SCIENCE LTD, 2018)Nowadays, biodiesel is seen as an alternative fuel to diesel fuel due to its many advantages such as higher density, cetane number and flash point. Although several methods are available for estimating fuel properties of ... -
Empowered chaotic local search-based differential evolution algorithm with entropy-based hybrid objective function for brain tumor segmentation
Aydemir, Salih Berkan; Onay, Funda Kutlu; Yalcin, Emre (Elsevier Sci Ltd, 2024)In neuro-oncology, the precise segmentation of brain tumors from Magnetic Resonance Images is crucial for diagnosis, treatment planning, and monitoring disease progression. Accurate segmentation helps determine the tumor's ... -
Extreme Learning Machine Algorithms for Prediction of Positive Rate in Covid-19: A Comparative Study
Various pandemics have been recorded in world history until today. The Covid-19 outbreak, which emerged at the end of 2019, has recently been a hot topic in the literature. In this work, extreme learning algorithms are ... -
Improved honey badger algorithms for parameter extraction in photovoltaic models
Duzenli, Timur; Onay, Funda Kutlu; Aydemir, Salih Berkan (Elsevier Gmbh, 2022)Precise estimation of the parameter values of solar models is very essential for optimization of solar systems. Many studies that use metaheuristic algorithms have recently been proposed for parameter estimation and ... -
Marine predator algorithm with elite strategies for engineering design problems
Aydemir, Salih Berkan; Onay, Funda Kutlu (Wiley, 2023)Marine predator algorithm (MPA) is a powerful metaheuristic optimization algorithm that shows effective convergence ability on complex benchmark functions. The combination of Brownian and Levy flight distributions directly ... -
A novel improved chef-based optimization algorithm with Gaussian random walk-based diffusion process for global optimization and engineering problems
Onay, Funda Kutlu (Elsevier, 2023)The chef-based optimization algorithm (CBOA) is a human-based method inspired by the relationship between culinary students and chef instructors. The original CBOA does not have a process that separately controls population ... -
Öznitelik seçimi problemleri için ikili beyaz köpekbalığı optimizasyon algoritması
Onay, Funda Kutlu (2023)Öznitelik seçimi, makine öğrenmesi problemlerinde kabul edilebilir bir sınıflandırma doğruluğunu hedeflerken, aynı zamanda büyük ölçekli bir veri kümesinden gereksiz, alakasız ve gürültülü öznitelikleri elimine etme ... -
Tropospheric zenith wet delay prediction with a new hybrid ANN-Gorilla troops optimizer algorithm
Konakoglu, Berkant; Onay, Funda Kutlu; Aydemir, Salih Berkan (Elsevier Sci Ltd, 2023)In recent years, machine learning techniques, especially artificial neural networks (ANN), have been widely applied for engineering problems since they have proven to be a good predictor, especially in accurate weather ...
