Data augmentation using continuous conditional generative adversarial networks for regression and its application to improved spectral sensing
Y Zhu, H Su, P Xu, Y Xu, Y Wang, CH Dong, J Lu… - Optics …, 2023 - opg.optica.org
Machine learning-assisted spectroscopy analysis faces a prominent constraint in the form of
insufficient spectral samples, which hinders its effectiveness. Meanwhile, there is a lack of …
insufficient spectral samples, which hinders its effectiveness. Meanwhile, there is a lack of …
Integrated microresonator-based microwave photonic sensors assisted by machine learning
Microwave photonic (MWP) sensors, facilitating high speed and high resolution through the
conversion of optical responses from the optical to the radio frequency domain, are …
conversion of optical responses from the optical to the radio frequency domain, are …
Reflective microring-resonator-based microwave photonic sensor incorporating a self-attention assisted convolutional neural network
In this paper, a reflective microring resonator (MRR)-based microwave photonic (MWP)
sensor incorporating a self-attention convolutional neural network (CNN) is presented. An …
sensor incorporating a self-attention convolutional neural network (CNN) is presented. An …
Wide-range operation of microwave photonic sensor using recurrent neural network
X Tian, Y Chen, Y Yan, L Li, L Zhou… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
In this paper, we present a microwave photonic (MWP) sensor whose operational range and
sensing accuracy are enhanced through the utilization of a recurrent neural network (RNN) …
sensing accuracy are enhanced through the utilization of a recurrent neural network (RNN) …
Integrated Microwave Photonic Sensors Based on Microresonators
X Tian, L Li, L Nguyen, X Yi - Advanced Sensor Research, 2024 - Wiley Online Library
Sensors stand as pivotal cornerstones of technology, driving progress across a spectrum of
industries through their ability to precisely capture and interpret an extensive array of …
industries through their ability to precisely capture and interpret an extensive array of …
Reflective Microresonator based Microwave Photonic Sensor Assisted by Sparse Transformer
X Tian, Y Chen, J Sved, Y Yan, L Zhou, L Li… - Optical Fiber …, 2024 - opg.optica.org
Conference title, upper and lower case, bolded, 18 point type, centered Page 1 Reflective
Microresonator based Microwave Photonic Sensor Assisted by Sparse Transformer Xiaoyi …
Microresonator based Microwave Photonic Sensor Assisted by Sparse Transformer Xiaoyi …
Machine learning-augmented multi-arrayed fiber bragg grating sensors for enhanced structural health monitoring by discriminating strain and temperature variations
Fiber optic sensors (FOS) in long-term structural health monitoring (SHM) have drawn
significant attention due to their pivotal role in detecting defects and measuring structural …
significant attention due to their pivotal role in detecting defects and measuring structural …
Multimode sensing in a whispering gallery mode resonator enabled by transfer machine learning
It is interesting to explore the sensing applications of the numerous of resonance modes in
whispering gallery mode (WGM) optical microresonators. Conventional supervised machine …
whispering gallery mode (WGM) optical microresonators. Conventional supervised machine …
Microwave photonics assisted by machine learning
The combination of machine learning with microwave photonics has provided advanced
solutions that were previously unattainable. Recent advances are presented with a focus on …
solutions that were previously unattainable. Recent advances are presented with a focus on …
Deep Learning Assisted Microwave Photonic Sensors
Microwave photonic (MWP) sensors leveraging optical-to-radio frequency conversion to
achieve high speed and high resolution, become indispensable in the era of advanced …
achieve high speed and high resolution, become indispensable in the era of advanced …