[HTML][HTML] Machine learning applications in optical fiber sensing: A research agenda
The constant monitoring and control of various health, infrastructure, and natural factors
have led to the design and development of technological devices in a wide range of fields …
have led to the design and development of technological devices in a wide range of fields …
Analyzing specklegrams of plastic optical fiber using convolutional neural network for weight recognition
A weight recognition scheme is proposed based on the analysis of plastic optical fiber (POF)
specklegrams. A simple experiment is performed for data acquisition comprising …
specklegrams. A simple experiment is performed for data acquisition comprising …
Wavelength demodulation method for FBG overlapping spectrum utilizing bidirectional long short-term memory neural network
W Liu, W Zhou, Y Wang, W Zhang, G Yan - Measurement, 2025 - Elsevier
Wavelength demodulation of overlapping spectrum can boost the multiplexing capacity of
FBGs, thereby increasing the measurement distance and density. Yet, many current …
FBGs, thereby increasing the measurement distance and density. Yet, many current …
[HTML][HTML] OptiGUI DataCollector: A graphical user interface for automating the data collecting process in optical and photonics labs
J Soto-Perdomo, J Morales-Guerra, JD Arango… - SoftwareX, 2023 - Elsevier
Abstract OptiGUI DataCollector is a Python 3.8-based graphical user interface that facilitates
automated data collection in optics and photonics research and development equipment. It …
automated data collection in optics and photonics research and development equipment. It …
Multimode fiber speckle Stokes polarimeter
Y Xiong, T Jiang, H Wu, Z Gao, S Zhou… - Advanced …, 2024 - spiedigitallibrary.org
The detection of the state of polarization (SOP) of light is essential for many optical
applications. However, cost-effective SOP measurement is a challenge due to the …
applications. However, cost-effective SOP measurement is a challenge due to the …
[HTML][HTML] Comparative performance evaluation of classical methods and a deep learning approach for temperature prediction in fiber optic specklegram sensors
FJ Vélez-Hoyos, JD Arango-Moreno… - Компьютерная …, 2024 - cyberleninka.ru
In this study, an algorithm based on convolutional neural networks is employed as an
interrogation method for a fiber specklegram sensor. This algorithm is compared with …
interrogation method for a fiber specklegram sensor. This algorithm is compared with …
[HTML][HTML] Extracting the Sensing Characteristic of a Multimode Optical Fiber Speckle-Gram Refractive Index Sensor with Tapered Sensing Area Based on Deep …
M Al-Zain, M Akbari, H Karimi Alavijeh… - … Intelligence in Electrical …, 2024 - isee.ui.ac.ir
In this paper, using a deep learning technique, the sensing characteristic of a refractive
index (RI) sensor based on a multimode optical fiber speckle-gram has been extracted. The …
index (RI) sensor based on a multimode optical fiber speckle-gram has been extracted. The …
استخراج مشخصۀ یک حسگر ضریب شکست مبتنی بر لکۀ خروجی فیبر نوری چند مد با ناحیۀ حساس باریک شده با استفاده از یادگیری عمیق
مصطفی الزین, مجتبی اکبری… - Computational …, 2024 - search.ebscohost.com
In this paper, using a deep learning technique, the sensing characteristic of a refractive
index (RI) sensor based on a multimode optical fiber speckle-gram has been extracted. The …
index (RI) sensor based on a multimode optical fiber speckle-gram has been extracted. The …
Evaluación del uso de técnicas de machine learning para el análisis de patrones de interferencia modal en sensores de specklegramas de fibra óptica
JD Arango Moreno - 2023 - repositorio.itm.edu.co
Los sensores de specklegrama de fibra óptica (FSS), basan su funcionamiento en el
análisis de las imágenes tipo speckle que se obtienen a la salida de una fibra multimodo …
análisis de las imágenes tipo speckle que se obtienen a la salida de una fibra multimodo …
[PDF][PDF] استخراج مشخصۀ یک حسگر ضریب شکست مبتنی بر لکۀ خروجی فیبر نوری چند مد با ناحیۀ حساس باریکشده با استفاده از یادگیری عمیق
الزین, اکبری, کریمی علویجه, معلم, پیمان - هوش محاسباتی در مهندسی برق, 2024 - isee.ui.ac.ir
در این مقاله، مشخصات حسگری ضریب شکست مبتنی بر تصویر لکۀ خروجی تار نوری چند مد با
استفاده از ساختار تار باریکشده همراه با یک روش نرمافزاری یادگیری عمیق استخراج داده شده است …
استفاده از ساختار تار باریکشده همراه با یک روش نرمافزاری یادگیری عمیق استخراج داده شده است …