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Toplam kayıt 18, listelenen: 11-18
Mass attenuation coefficient, stopping power, and penetrating distance calculations via Monte Carlo simulations for cell membranes
(Elsevier, 2023)
The Monte Carlo (MC) method is a computer simulation that is widely used in different disciplines including physics, biology, biophysics, medical imaging, biomedical engineering, etc. In addition, MC method is often ...
209Bi izotopunun (p,xn), (p,xp), (p,xd) ve (p,xt) reaksiyonlarının teorik nükleer modeller ile incelenmesi
(2023)
Nükleer fizik alanındaki gelişmeler; arkeoloji, jeoloji, mühendislik, astrofizik, kozmoloji, kimya, biyoloji, tıp gibi bilim dallarını da etkilemektedir. Nükleer reaksiyon mekanizmalarını anlamak, reaksiyon modelleri ...
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)
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, ...
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 ...
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 ...
Neural network predictions of (α, n) reaction cross sections at 18.5±3 MeV using the Levenberg-Marquardt algorithm
(Elsevier, 2024)
In recent developments, artificial neural networks (ANNs) have demonstrated their capability to predict reaction cross-sections based on experimental data. Specifically, for predicting (a,n) reaction cross-sections, we ...
Calculations of GDR parameters for deformed nuclei using LogitBoost classifier and artificial neural network
(Modern Physics Letters A, 2022)
Photo-nuclear interactions are important for investigating fundamental nuclear physics phenomena. The photo-absorption cross-section energy curve displays a wide resonance called giant dipole resonance (GDR) until 30 MeV. ...
Estimations for the production cross sections of medical 61, 64, 67Cu radioisotopes by using bayesian regularized artificial neural networks in (p, α) reactions
(Arabian Journal of Science and Engineering, 2023)
Copper (Cu), which is produced in cyclotrons or reactors, is a significant tracer in the human body. Bayesian regularized artificial neural networks (ANNs) algorithm, which is one of the ANN approaches, was used in analyzing ...