Author:
Mohamed Radwa,Magdy Ahmed,Nafea Sherif F.
Publisher
Springer Nature Switzerland
Reference14 articles.
1. Camarchia, V., Cappelluti, F., Ghione, G., Limiti, E., Moran, D.A.J., Pirola, M.: An overview on recent developments in RF and microwave power H-terminated diamond MESFET technology. In: 2014 International Workshop on Integrated Nonlinear Microwave and Millimetre-wave Circuits (INMMiC), pp. 1–6. IEEE (2014)
2. Wang, S., Zhang, J., Liu, M., Liu, B., Wang, J., Yang, S.: Large-signal behavior modeling of GaN P-HEMT based on GA-ELM neural network. Circ. Syst. Signal Process. 41(4), 1834–1847 (2021). https://doi.org/10.1007/s00034-021-01891-7
3. Hari, N., Ahsan, M., Sridhar, R., Padmanaban, S., Albarbar, A., Blaabjerg, F.: Gallium nitride power electronic devices modelling using machine learning. IEEE Access 8, 119654–119667 (2020)
4. Perkins, N., Abrokwah, J., Rohdin, H.G., Marsh, P., Stanback, J.: Avago technologies general IP Singapore Pte Ltd. Pseudomorphic high electron mobility transistor (pHEMT) comprising low temperature buffer layer. U.S. Patent 8,901,606 (2014)
5. Zhang, A., Gao, J.: InP HBT small signal modeling based on artificial neural network for millimeter-wave application. In: Proceedings of the 2020 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization (NEMO), Hangzhou, China, 7–9 December 2020, pp. 1–3 (2020)
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