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Skip to Search Results- 3machine learning
- 2microwave sensor
- 1CycleGAN
- 1artificial neural network
- 1future infestations
- 1glucose sensing
- 1Abdolrazzaghi, Mohammad
- 1Kazemi, Nazli
- 1Mark A. Lewis
- 1Musilek, Petr
- 1Mélodie Kunegel-Lion
- 1Nazli Kazemi
- 2Electrical and Computer Engineering, Department of
- 2Electrical and Computer Engineering, Department of/Journal Articles (Electrical and Computer Engineering)
- 1Biological Sciences, Department of
- 1Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 1Mathematical and Statistical Sciences, Department of
- 1Mathematical and Statistical Sciences, Department of/Research Publications (Mathematical and Statistical Sciences)
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2020-01-01
Kazemi, Nazli, Abdolrazzaghi, Mohammad, Musilek, Petr
In this study, a loss-compensated microwave (MW) planar sensor is used to characterize fluids at ~1 GHz. The environmental temperature is shown to adversely impact the recorded resonance frequency of the MW sensor, leading to data mixing. This issue is resolved using a feedforward artificial neural...
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2022-11-01
In this work, a microwave planar sensor is used for liquid material characterization. Two identical complementary split-ring resonators operating at 3 GHz are coupled to create a highly sensitive capacitive region. The moderate quality factor of the sensor ~230 is significantly improved up to...