@conference{10902/36518,
year = {2025},
month = {5},
url = {https://hdl.handle.net/10902/36518},
abstract = {This work introduces an innovative capillary or hollow core-based sensor designed to measure turbidity by using the reflection of light in its cladding. The structure consists of two different capillary sections and has been optimized to maximise the interaction of light with the external liquid. Experimentation includes data collection from different turbidity levels using the reflected spectrum. To improve the measuring results, machine learning is implemented, exploring the effectiveness of various algorithms and neural network architectures to achieve a good root mean square error.},
organization = {This work was supported in part by projects PID2022-137269OB, funded by MCIN/AEI/10.13039/501100011033 and FEDER “A way to make Europe”, and TED2021-130378B funded by MCIN/AEI/10.13039/501100011033 and European Union “Next generation EU”/PRTR.},
publisher = {SPIE Society of Photo-Optical Instrumentation Engineers},
publisher = {Proceedings of SPIE, 2025, 13639, 1363980},
publisher = {29th International Conference on Optical Fiber Sensors, Porto, Portugal, 2025},
title = {Capillary-based optical fiber sensor for turbidity measurement},
author = {Vanegas Tenezaca, Evelyn and Galarza Galarza, Marko and Daulait, Romain and Jamier, Raphael and Roy, Philippe and Cobo García, Adolfo and López-Amo Sainz, Manuel},
}