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Neuro-fuzzy modeling of deformation parameters for fusion-barriers
(Science Direct, 2021)
The fusion-barrier distribution is very sensitive to the structure of the colliding nuclei such as nuclear quadrupole and hexadecapole deformation parameters and their signs. If the nuclei that enter the fusion reaction ...
Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
(Science Direct, 2021)
In this study, 4 common machine learning methods have been used to model the I–V characteristic of the Au/Ni/n-GaN/undoped GaN Schottky diode. The current values of previously produced Au/Ni/n-GaN/undoped GaN Schottky diode ...
A novel classifier architecture based on deep neural network for COVID-19 detection using laboratory findings
(Elsevier, 2021)
Unfortunately, Coronavirus disease 2019 (COVID-19) is spreading rapidly all over the world. Along with causing many deaths, it has substantially affected the social life, economics, and infrastructure worldwide in a negative ...
Parameter Estimation of AI/p-Si Schottky Barrier Diode Using Different Meta-Heuristic Optimization Techniques
(2022)
: Schottky barrier diodes (SBD) are crucial in the electronics sector. The electronic properties
of SBD are characterized by three basic electrical parameters as the ideality factor (n), barrier height
(ΦSB) and series ...
Effect of Change of Reluctance Launcher Parameters on Projectile Velocity
(2023)
In this study, it is aimed to increase the projectile velocity by changing some parameters of the reluctance launcher. Studied parameters are the initial position of the projectile, the coating of the coil with ferrite, ...