A feedforward neural network trained on synthetic data inverts voltage-dependent intensities from an electrically tunable AlGaN/GaN plasmonic analyzer to reconstruct THz spectra, achieving lower error than Tikhonov regularization and identifying most resonances correctly.
Enhancing concealed object detection in active THz security images with adaptation-YOLO
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2026 1verdicts
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Neural-network reconstruction of THz transmission spectra using electrically tunable AlGaN/GaN plasmonic-crystal analyzer
A feedforward neural network trained on synthetic data inverts voltage-dependent intensities from an electrically tunable AlGaN/GaN plasmonic analyzer to reconstruct THz spectra, achieving lower error than Tikhonov regularization and identifying most resonances correctly.