Deep learning for optical sensor applications: A review
Over the past decade, deep learning (DL) has been applied in a large number of optical
sensors applications. DL algorithms can improve the accuracy and reduce the noise level in …
sensors applications. DL algorithms can improve the accuracy and reduce the noise level in …
Multimode optical fiber sensors: from conventional to machine learning-assisted
Multimode fiber (MMF) sensors have been extensively developed and utilized in various
sensing applications for decades. Traditionally, the performance of MMF sensors was …
sensing applications for decades. Traditionally, the performance of MMF sensors was …
Deep learning based optical curvature sensor through specklegram detection of multimode fiber
An optical fiber curvature sensor based on the detection of specklegrams from the facet of
multimode fiber (MMF) is realized by using a deep learning regression model. Since the …
multimode fiber (MMF) is realized by using a deep learning regression model. Since the …
Deep learning assisted microwave photonic dual-parameter sensing
The combination of optical microresonators and the emerging microwave photonic (MWP)
sensing has recently drawn great attention, whereas its multi-parameter sensing capability …
sensing has recently drawn great attention, whereas its multi-parameter sensing capability …
Self-vernier effect-assisted optical fiber sensor based on microwave photonics and its machine learning analysis
Optical Vernier effect has been recently demonstrated as a tool to enhance the sensitivity of
optical fiber interferometric sensors and has become a hot topic in the last few years. The …
optical fiber interferometric sensors and has become a hot topic in the last few years. The …
Machine learning for sensing with a multimode exposed core fiber specklegram sensor
Fiber specklegram sensors (FSSs) traditionally use statistical methods to analyze
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
specklegrams obtained from fibers for sensing purposes, but can suffer from limitations such …
Machine learning for a Vernier-effect-based optical fiber sensor
In recent years, the optical Vernier effect has been demonstrated as an effective tool to
improve the sensitivity of optical fiber interferometer-based sensors, potentially facilitating a …
improve the sensitivity of optical fiber interferometer-based sensors, potentially facilitating a …
Machine learning boosts performance of optical fiber sensors: a case study for vector bending sensing
The spectral response produced when a high-sensitivity optical fiber sensor (OFS) is subject
to an external perturbation has recently been shown to contain rich information that can be …
to an external perturbation has recently been shown to contain rich information that can be …
Spatially-resolved bending recognition based on a learning-empowered fiber specklegram sensor
H Gao, H Hu - Optics Express, 2023 - opg.optica.org
Fiber specklegram sensors do not rely on complex fabrication processes and expensive
sensor interrogation schemes and provide an alternative to routinely used fiber sensing …
sensor interrogation schemes and provide an alternative to routinely used fiber sensing …
Detection of cancer cells with selective photonic crystal fiber based on fuzzy logic
In this paper, a photonic crystal fiber sensor based on surface plasmon resonance (PCF-
SPR) is proposed for diagnosis of cancer cells. Cells refractive index (RI) detection is in the …
SPR) is proposed for diagnosis of cancer cells. Cells refractive index (RI) detection is in the …