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Toplam kayıt 52, listelenen: 1-10
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 ...
Level density model effects on the production cross-section calculations of some medical isotopes via (α, xn) reactions where x = 1–3
(Modern Physics Letters A, 2020)
Level density models have an undeniable importance for a better perception on the na- ture of nuclear reactions, which influences our life via various ways. Many novel and advanced medical application use radioisotopes, ...
Estimation of (n,p) reaction cross sections at 14.5 ∓ 0.5 MeV neutron energy by using artificial neural network
(Applied Radiation and Isotopes, 2021)
The aim of this study is to develop an accurate artificial neural network algorithm for the cross-section of (n,p) reactions at 14.5 ∓0.5 MeV neutron energy which is important to developing materials for fusion reactor ...
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 ...
Estimating currents from action potentials using single and multi-output neural network models
(Second International Congress on Biological and Health Sciences, 2022)
Ion channels are water-filled pores formed by membrane proteins abundant in excitable cells' plasma
membranes. Ion channels are responsible for converting signals into biological responses. They are primarily
engaged in ...
Photonuclear reaction cross-sections of sn isotopes
(XV. International Conference on Nuclear Structure Properties, 2022)
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 ...
A study on the calculations of cross-sections for 66,67ga and 75se radionuclides production reactions via 3he particles
(Eskişehir Technical University Journal of Science and Technology A - Applied Sciences and Engineering, 2020)
The intend of this paper is to study on different production routes of medical 66,67Ga and 75Se radionuclides used in cancer diagnostic. Both 66,67Ga and 75Se are the most well-known radionuclides used in diagnostics of ...
206,207Pb(p,xn) reaksiyonu tesir kesiti hesaplamalarına seviye yoğunluğu modellerinin etkilerinin incelenmesi
(Süleyman Demirel Üniversitesi Fen Edebiyat Fakültesi Fen Dergisi, 2021)
Bu çalışmada 206Pb(p,2n)205Bi, 206Pb(p,3n)204Bi, 206Pb(p,5n)202Bi, 207Pb(p,2n)206Bi ve 207Pb(p,3n)205Bi reaksiyon tesir kesitleri TALYS 1.95 kodu ile hesaplanmıştır. Hesaplamalar için Geometri Bağımlı Hibrit Model TALYS ...
Assessment of neutron and gamma-ray shielding characteristics in ternary composites: experimental analysis and Monte Carlo simulations
(Elsevier, 2024-06)
The research aims to exploring the gamma-ray shielding capacities of polyacrylonitrile/chrome-filled polymer composites through a combination of experimental, theoretical and simulation methods. Additionally, employing ...