2 papers
physics.optics2025
Accuracy Enhancement in Refractive Index Sensing via Full-Spectrum Machine Learning Modeling
Majid Aalizadeh, Chinmay Raut, Morteza Azmoudeh Afshar +2
We present a full-spectrum machine learning framework for refractive index sensing using simulated absorption spectra from meta-grating structures composed of titanium or silicon n…
q-bio.QM2025
Machine Learning-Enabled Multidimensional Data Utilization Through Multi-Resonance Architecture: A Pathway to Enhanced Accuracy in Biosensing
Majid Aalizadeh, Morteza Azmoudeh Afshar, Xudong Fan
A novel framework is proposed that combines multi-resonance biosensors with machine learning (ML) to significantly enhance the accuracy of parameter prediction in biosensing. Unlik…