Radyoterapide kullanılan E > 8 MeV enerjili foton demetlerinin medikal lineer hızlandırıcı (LİNAK) kafasında ışın demeti yolunda yer alan düzleştirici filtrelerin içerdiği materyallerin çekirdeği ile gerçekleşen foto-nötron ...

With the IPAA method, which has a very important place among the element analysis methods, many substances with unknown element concentrations can be shed light on. The particular preference of the IPAA method has an ...

In this study, iron, steel and chromium waste heavyweight particles were replaced by calcerous sand with different percentages in volume and the radiation shielding properties of resulting mortar samples were investigated. ...

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, ...

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, ...

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 ...

Nükleer Reaktörlerde üretilen geçici çekirdekler genellikle kısa yarı ömürlüdür, dolayısıyla, bu çekirdeklerin tesir kesitlerinin ve parçacıkların yayınlanma spektrumlarının doğrudan ölçülmesi pek mümkün olmamaktadır. Bu ...

111In , a known gamma emitter, is used for many medical purposes such as imaging of myocardial metastases. It can be produced by using different nuclear reactions. In this study, the reactions of 109Ag(𝛼,2n)111In, ...

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 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 ...