Physical Sciences › Engineering › Electrical and Electronic Engineering
Microwave Engineering and Waveguides
2 papers indexed
This topic and its hierarchy come from the OpenAlex classification, the open catalogue of the world's scientific research.
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Latest papers
- Deep-Learning-Based Pixelated Microwave Filter Design and Characterization using Electro-Optical Electric-Field Measurements
Han Zhou, Richard Bannister, Caspar Pierce, Haojie Chang, David Widen, Ludvig Fornstedt, Gabriel Melin, Alexander Bohlin, Pontus Lindeberg Fredriksson, Dilbagh Singh, Christian Fager, Koen Buisman · 25 August 2026
Traditional microwave filter design typically relies on iterative parameter tuning and predefined topologies, which limits design space and increases development time. This study uses a deep learning approach combining convolutional neural networks with genetic algorithms to automate pixelated micro…
- From Equations to Algorithms and Data: Transforming Microwave Engineering and Education with Machine Learning
Mehmet Parlak, Islam Guven · 28 April 2026
Conventional microwave engineering education relies heavily on analytical methods, canonical circuit topologies, and intuition-driven design, which have proven effective at microwave frequencies. However, as systems increasingly operate in the millimeter-wave and terahertz regimes, parasitic effects…
- Efficient RF Passive Components Modeling with Bayesian Online Learning and Uncertainty Aware Sampling
Huifan Zhang, Pingqiang Zhou · 20 November 2025
Conventional radio frequency (RF) passive components modeling based on machine learning requires extensive electromagnetic (EM) simulations to cover geometric and frequency design spaces, creating computational bottlenecks. In this paper, we introduce an uncertainty-aware Bayesian online learning fr…
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