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Estimations of level density parameters by using artificial neural network for phenomenological level density models
(Applied Radiation and Isotopes, 2021)
The main aim of this study is to develop accurate artificial neural network (ANN) algorithms to estimate level density parameters. An efficient Bayesian-based algorithm is presented for classification algorithms. Unknown ...
Estimations of giant dipole resonance parameters using artificial neural network
(Applied Radiation and Isotopes, 2021)
In this study; Giant Dipole Resonance (GDR) parameters of the spherical nucleus have been estimated by using artificial neural network (ANN) algorithms. The ANN training has been carried out with the Levenberg–Marquardt ...
Investigation of the effects of different composite materials on neutron contamination caused by medical LINAC
(Kerntechnik, 2020)
In a medical linear accelerator, the primary and secondary collimators are generally made of high atomic weight metals. The energy of the x-rays generated by accelerated electrons exceeds the bonding energies of high atomic ...
Mamografi sistemlerinde ilgi alanı türev ve ince gruplama seçimlerinin modülasyon transfer fonksiyonunun üzerine etkileri
(Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi, 2020)
Bu çalışmada, mamografi sisteminin görüntü kalitesi matematiksel yöntemler ile ölçülmüştür. Mamografi sistemlerinde performans ölçümleri için uygulanan yeni yöntemler, bu sistemlerin görüntü kalitesinin sayısal olarak ...
Vascular segmentation in X-ray angiograms using frangi filter
(International Online Conferences on Engineering and Natural Sciences, 2021)
X-ray angiography systems are essential method of diagnosis of coronary arteries from angiography
images. Coronary angiography is known as the gold standard; for the evaluation of coronary artery
disease. Nevertheless, ...
Mass excess estimations using artificial neural networks
(Applied Radiation and Isotopes, 2022)
Mass excess knowledge is important to investigate the fundamental properties of atomic nuclei. It is a meaningful and important parameter for the determinations of nucleon binding energy, nuclear reaction Q value, energy ...
Investigation of the production routes of Palladium-103 and Iodine-125 radioisotopes
(Radiation Physics and Chemistry, 2023)
The most commonly used radioisotopes are Palladium-103 (103Pd) and Iodine-125 (125I) for interstitial application in brachytherapy. In the present study, different production routes of 103Pd and 125I have been investigated. ...
Calculation of mass attenuation coefficients for pedicle screw by theoretical and monte carlo simulation methods
(Süleyman Demirel University Faculty of Arts and Sciences Journal of Science, 2021-11-26)
Spine fixation is required in cases such as congenital spinal curvatures, vertebral fractures, sagittal collapse over time, painful kyphosis, and bone load due to tumors. Although there are many methods in the literature, ...
A study on the estimations of (n, t) reaction cross-sections at 14.5 MeV by using artificial neural network
(Modern Physics Letters A, 2021)
In this paper, calculations of the (n,t) reaction cross-sections at 14.5 MeV have been presented by utilizing artificial neural network algorithms (ANNs). The systematics are based on the account for the non-equilibrium ...
The application of image filtering methods in mammography image
(Proceedings on 4. International Conference on Technology and Science, 2021)
Medical images have recently become an important part of patient care. Techniques for image processing and analysis are generally used in medicine. Medical images are complicated, and they differ significantly from one ...
