Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices

Mahadi, Mahin Khan; Rahad, Rummanur; Haque, Mohammad Ashraful; Nishat, Mirza Muntasir

doi:10.1007/s00339-024-07956-z

Appl. Phys. A

2024

DOI: 10.1007/s00339-024-07956-z

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Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices

Mahin Khan Mahadi,

Rummanur Rahad,

Mohammad Ashraful Haque

et al.

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Gated recurrent unit (GRU)-based deep learning method for spectrum estimation and inverse modeling in plasmonic devices

Cited by 3 publications

References 34 publications

Design and Investigation of Machine Learning–Optimized Surface Plasmon Resonance Biosensor for Early Brain Tumor Detection

Design and Investigation of Machine Learning–Optimized Surface Plasmon Resonance Biosensor for Early Brain Tumor Detection

Investigation of Machine Learning Algorithms and Plasmonic Waveguide-Based Fano Resonance Sensor for Diagnosis of Estrogen

Innovative Graded-Index PCF–Based SPR Sensor for Advanced Deepfake Detection and Real-Time Media Integrity Analysis

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