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Electronic energy spectra in a multiple quantum well within external electric and tilted magnetic fields
(IOP PUBLISHING LTD, 2000)
The analytical solution of the Schrodinger equation for a multiple-quantum-well system subjected to an externally applied electric field in the growth direction and an externally applied tilted magnetic field are obtained ...
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 Dual-Band and Low-Cost Microstrip Patch Antenna for 5G Mobile Communications
(Applied Computational Electromagnetics Society Journal, 07-07-2021)
This paper investigates the numerical and
experimental analysis of a low-cost and dual-band
microstrip patch antenna for the fifth generation (5G)
mobile communications. The numerical analysis of the
proposed antenna ...
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 ...
Efficient Electromagnetic Analysis of a Dispersive Head Model Due to Smart Glasses Embedded Antennas at Wi-Fi and 5G Frequencies
(Applied Computational Electromagnetics Society Journal, 07-02-2021)
Numerical study of electromagnetic
interaction between an adjacent antenna and a human
head model requires long computation time and large
computer memory. In this paper, two speeding up
techniques for a dispersive ...
Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
(18 Ekim 20)
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 ...
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 ...
A Novel Approach for Polyphase Filter Bank Design Using ABC Algorithm
(21.12.2022)
—Polyphase filter banks (PFBs) are the most
preferred multirate structures for subband coding in Digital
Signal Processing (DSP) and communication. For PFB design,
there are many important design parameters such as ...
Neural network estimations of annealed and non-annealed Schottky diode characteristics at wide temperatures range
(15/06/2022)
n this study, Artificial Neural Network (ANN) model has been proposed to characterize the annealed and the
non-annealed Schottky diode from experimental data. The experimental current values of Ni/n-type 6H–SiC
Schottky ...