14 citations · 17 across the 7 of their papers we have counts for
Showing physics.opticsShow all
3 papers · 1 filter
physics.optics2025
A performance evaluation of integrating machine learning schemes utilizing fluidic lenses
Graciana Puentes
A combination of statistical inference and machine learning (ML) schemes has been utilized to create a thorough understanding of coarse experimental data based on Zernike variables…
physics.optics2025
Comparison between neural network clustering, hierarchical clustering and k-means clustering: Applications using fluidic lenses
Graciana Puentes
A comparison between neural network clustering (NNC), hierarchical clustering (HC) and K-means clustering (KMC) is performed to evaluate the computational superiority of these thre…
physics.optics2023★ 3 cited
Spectral Characterization of Optical Aberrations in Fluidic Lenses
Graciana Puentes, Fernando Minotti
We report an extensive numerical study and supporting experimental results on the spectral characterization of optical aberrations in macroscopic fluidic lenses with tunable focal…