Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers
Passive image forgery detection methods that identify forgeries without prior knowledge
have become a key research focus. In copy-move forgery, the assailant intends to hide a …
have become a key research focus. In copy-move forgery, the assailant intends to hide a …
Sensory methods and machine learning based damage identification of fibre-reinforced composite structures: An introductory review
Fibre-reinforced composite materials are extensively used for manufacturing critical
engineering components in diverse applications, which demands intelligent and reliable …
engineering components in diverse applications, which demands intelligent and reliable …
Application of machine learning in optical fiber sensors
Y Zhou, Y Zhang, Q Yu, L Ren, Q Liu, Y Zhao - Measurement, 2024 - Elsevier
In recent years, with the increasing demand for intelligent society, intelligent photonics has
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …
developed rapidly. Machine learning (ML), as a subset of artificial intelligence (AI), has …
Brillouin Frequency Shift Extraction Based on AdaBoost Algorithm
H Zheng, F Xiao, S Sun, Y Qin - Sensors, 2022 - mdpi.com
The Brillouin Optical Time-Domain Analyzer assisted by the AdaBoost Algorithm for Brillouin
frequency shift (BFS) extraction is proposed and experimentally demonstrated. The Brillouin …
frequency shift (BFS) extraction is proposed and experimentally demonstrated. The Brillouin …
[PDF][PDF] 基于机器学习的布里渊光时域分析传感系统温度提取研究进展
李治龙， 张卫华， 王一民， 张煜峰， 罗斌… - Laser & Optoelectronics …, 2021 - researching.cn
摘要布里渊光时域分析(BOTDA) 在分布式光纤传感系统中展现出独特的优势并得到了广泛的
关注, 对BOTDA 传感系统的温度分布信息进行快速且精确的提取至关重要. 随着机器学习算法的 …
关注, 对BOTDA 传感系统的温度分布信息进行快速且精确的提取至关重要. 随着机器学习算法的 …
[HTML][HTML] Fast Feature Extraction Method for Brillouin Scattering Spectrum of OPGW Optical Cable Based on BOTDR
X Chen, H Yu - Sensors, 2023 - mdpi.com
Brillouin optical time domain reflectometry (BOTDR) detects fiber temperature and strain
data and represents one of the most critical ways of identifying abnormal conditions such as …
data and represents one of the most critical ways of identifying abnormal conditions such as …
Fast and accurate temperature extraction via general regression neural network for BOTDA sensors
H Zhou, H Zhu, Y Zhang, M Huang… - … on Information Optics …, 2021 - spiedigitallibrary.org
Curve fitting algorithm is traditionally utilized for Brillouin optical time domain analyzer
(BOTDA) temperature extraction, with high time cost. To improve the extraction speed …
(BOTDA) temperature extraction, with high time cost. To improve the extraction speed …
Brillouin frequency shift estimation for Brillouin optical time domain analysis using Brillouin gain and loss spectra with SVC
H Nonogaki, K Hoshino, D Saito… - IEEE Sensors …, 2024 - ieeexplore.ieee.org
We propose and investigate a method to estimate Brillouin frequency shift (BFS) for Brillouin
optical time domain analysis (BOTDA) using Brillouin gain and loss spectra (BGS and BLS) …
optical time domain analysis (BOTDA) using Brillouin gain and loss spectra (BGS and BLS) …
Brillouin frequency shift extraction by bidirectional integration of Brillouin gain spectrum
S Liu, J Zhang, Z Ma, Z Liang, J Han, J Xu… - Optical Fiber …, 2024 - Elsevier
A novel Brillouin frequency shift (BFS) extraction approach based on bidirectional
integration is proposed and investigated for mitigating the fluctuations in Brillouin optical …
integration is proposed and investigated for mitigating the fluctuations in Brillouin optical …
Underwater acoustic source localization via kernel extreme learning machine
Z Hu, J Huang, P Xu, M Nan, K Lou, G Li - Frontiers in Physics, 2021 - frontiersin.org
Fiber-optic hydrophones have received extensive research interests due to their advantage
in ocean underwater target detection. Here, kernel extreme learning machine (K-ELM) is …
in ocean underwater target detection. Here, kernel extreme learning machine (K-ELM) is …