Husain S 1

1. Accurate and Efficient Behavioral Modeling of GaN HEMTs Using An Optimized Light Gradient Boosting Machine
2. Accurate, Efficient and Reliable Small-Signal Modeling Approaches for GaN HEMTs
3. An Accurate and Reliable Behavioral Modeling Technique for Fully Printed Vanadium Dioxide RF Switches Using Model Ensembling Approach
4. Comprehensive Investigation and Comparative Analysis of Machine Learning-Based Small-Signal Modelling Techniques for GaN HEMTs
5. Comprehensive Investigation of ANN Algorithms Implemented in MATLAB, Python, and R for Small-Signal Behavioral Modeling of GaN HEMTs
6. Genetic algorithm initialized artificial neural network based temperature dependent small-signal modeling technique for GaN high electron mobility transistors
7. Large-Signal Modeling of GaN HEMTs Using Hybrid GA-ANN, PSO-SVR, and GPR-Based Approaches
8. On temperature-dependent small-signal modelling of GaN HEMTs using artificial neural networks and support vector regression
9. Machine Learning Based Approach to Accurately Model and Optimize Microwave Filters
10. Hybrid Approach for Performance Optimization of Gallium Nitride High Electron Mobility Transistors Small-Signal Behavioral Models
11. Combining Intelligence with Rules for Device Modeling: Approximating the Behavior of AlGaN/GaN HEMTs Using a Hybrid Neural Network and Fuzzy Logic Inference System
12. Optimized Machine Learning-Augmented Hybrid Empirical Models for AlGaN/GaN HEMTs: A Comprehensive Analysis
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