Classification of Size and Volume Fraction in Low-Absorption Micro- and Nanoparticles via Photoacoustic Sensing Using Continuous Wavelet Transform and Convolutional Neural Networks
Photoacoustic signal analysis in weakly absorbing media remains challenging because of low signal-to-noise ratios. This work proposes a deep learning framework for classifying particle size and concentration in an indirect absorption configuration. We conducted a comparative study using raw temporal signals, Savitzky–G...