Sub-surface thermal measurement in additive manufacturing via machine learning-enabled high-resolution fiber optic sensing

R Wang, R Wang, C Dou, S Yang… - Nature …, 2024 - nature.com
Microstructures of additively manufactured metal parts are crucial since they determine the
mechanical properties. The evolution of the microstructures during layer-wise printing is …

Dual-parameter demodulation of fbg-fpi cascade sensors via sparse samples: A deep learning-based perspective

H Xu, S Chen, S Ren, X Hou, G Wang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
This article proposes a complete framework for the manufacturing and dual-parameter
demodulation of sensor systems consisting of cascaded fiber Bragg gratings (FBGs) and …

Recent Applications of Fiber Bragg Grating Sensors in Humidity and Water Content Detection in Agriculture: A Comprehensive Review of Development, Challenges …

MI Abdulraheem, Y Xiong, W Zhang, H Chen… - International Journal of …, 2024 - Springer
There has been a growing interest in using Fiber Bragg Grating (FBG) sensors for the
detection of humidity and water content due to their high sensitivity, ease of installation …

Fabrication and demodulation for sensitivity enhanced fiber Fabry-Pérot sensor based on hookean effect

Q Yang, S Chen, Z Liu, L Liu, S Zhang… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Fabry-Pérot interference (FPI) structure for strain measurement relies on complex and
expensive air microcavities, significantly limiting its use in microstrain size. This article …

Design of THz photonic crystal fiber based biosensor for detection of brain tissues and behavior characterization with Machine learning approach

KR Deepa, S Padma, S Sridevi, N Ayyanar - Optical and Quantum …, 2024 - Springer
In this research, we proposed a Terahertz (THz) refractive index-based Hollow-Core
Photonic Crystal Fiber (HC-PCF) biosensor for examining various brain cancerous tissues …

Addressing uncertainty on machine learning models for long-period fiber grating signal conditioning using Monte Carlo method

FO Barino, AB Dos Santos - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The massive adoption of machine learning (ML) and artificial intelligence models in the field
of instrumentation and measurement has raised several doubts concerning the validity of …

AP-GAN-DNN based creep fracture life prediction for 7050 aluminum alloy

J Yan, J Zhou, J Zhang, P Zhao, Z Zhang… - Engineering Fracture …, 2024 - Elsevier
Abstract 7050 aluminum alloy has high strength and excellent fracture toughness. However,
damage can be caused to the 7050 aluminum alloy by creep at elevated temperatures. The …

Strain FBG-Based Sensor for Detecting Fence Intruders Using Machine Learning and Adaptive Thresholding

A Elleathy, F Alhumaidan, M Alqahtani, AS Almaiman… - Sensors, 2023 - mdpi.com
This paper demonstrates an intruder detection system using a strain-based optical fiber
Bragg grating (FBG), machine learning (ML), and adaptive thresholding to classify the …

Less is more: Ensemble Learning for Retinal Disease Recognition Under Limited Resources

J Wang, H Peng, S Chen, S Ren - arXiv preprint arXiv:2402.09747, 2024 - arxiv.org
Retinal optical coherence tomography (OCT) images provide crucial insights into the health
of the posterior ocular segment. Therefore, the advancement of automated image analysis …

Rethink Training: Synthetic Data Powers Efficient Fiber-optics Sensor Demodulation Neural Networks

S Ren, S Chen, Y Hu, H Xu, X Hou, Q Yang… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
Accurate demodulation of fiber-optics sensors (FOSs) is essential for real-world
environmental monitoring. Recent advances in AI have shifted the demodulation techniques …