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Toplam kayıt 16, listelenen: 1-10
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 ...
Multigene genetic programming for sediment transport modeling in sewers for conditions of non-deposition with a bed deposit
(Elsevier, 2018)
It is known that construction of large sewers based on consideration of flow with non-deposition without a bed deposit is not economical. Sewer design based on consideration of flow with non-deposition with a bed deposit ...
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 ...
Effects of deuteron optical models on the cross-section calculations of deuteron induced reactions on natural germanium
(Applied Radiation and Isotopes, 2021)
A common feature of scientific studies is that when experimental observation data are not available, theoretical calculations are used to obtain information about the subject under investigation. In this context, many ...
A review on nanotoxicity and nanogenotoxicity of different shapes of nanomaterials
(Journal of applied Toxicology, 2021)
Nanomaterials (NMs) generally display fascinating physical and chemical properties that are not always present in bulk materials; therefore, any modification to their size, shape, or coating tends to cause significant ...
Heavy metal accumulation and genotoxic effects in levant vole (Microtus guentheri) collected from contaminated areas due to mining activities
(Environmental Pollution, 2020)
Heavy metal contamination is a serious environmental problem commonly monitored in various organisms. Small wild rodents are ideal biological monitors to show the extent of environmental pollution.The aim of this study was ...
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 ...
Mathematical model of the ventricular action potential and effects of isoproterenol-induced cardiac hypertrophy in rats
(European Biophysics Journal, 2020)
Mathematical action potential (AP) modeling is a well-established but still-developing area of research to better understand physiological and pathological processes. In particular, changes in AP mechanisms in the isoproterenol ...
Photo-neutron cross-section calculations of 54,56Fe, 90,91,92,94Zr, 93Nb and 107Ag isotopes with newly obtained giant dipole resonance parameters
(Applied Radiation and Isotopes, 2020)
The knowledge of the interaction of photons with matter is of vital importance to investigate fundamental nu- clear physics problems. Giant dipole resonance (GDR) mechanism is dominant up to 30 MeV at photo-absorption ...
Geographic information system-based investment system for photovoltaic power plants location analysis in Turkey
(Springer Nature, 2020)
The motivation of this research, development, demonstration, deployment, and diffusion (RD3 &D) study is to present the progress of designing the GIS-based location selection module of autonomous investment decision support ...