Become A Wiser, More Profitable Trader

✅   Comparative evaluation of traditional and novel neural Network-Based approaches for spectral transfer in MEMS FT-NIR spectroscopy

science

Fourier Transform Near-Infrared (FT-NIR) spectroscopy faces critical challenges in calibration trans- fer, particularly in achieving consistency across diverse instruments and environmental conditions. This study evaluates traditional methods-Spectral Space Transformation (SST) and Spectral Align- ment-alongside a novel Spectral Residual Neural Transfer Network (SRNTN) on Micro Electro Mechanical System (MEMS)-based FT-NIR sensors. A meticulously curated standard calibration set, consisting of...

NCBI     Jun 22, 2025