Recent advances in Brillouin optical time domain reflectometry
In the past two decades Brillouin-based sensors have emerged as a newly-developed
optical fiber sensing technology for distributed temperature and strain measurements …
optical fiber sensing technology for distributed temperature and strain measurements …
Machine learning approaches in Brillouin distributed fiber optic sensors
C Karapanagiotis, K Krebber - Sensors, 2023 - mdpi.com
This paper presents reported machine learning approaches in the field of Brillouin
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …
distributed fiber optic sensors (DFOSs). The increasing popularity of Brillouin DFOSs stems …
Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
It is important for the sensitivity of ecological balance that image processing methods and
techniques give better results day by day. Today, researchers use deep learning in image …
techniques give better results day by day. Today, researchers use deep learning in image …
Distributed Brillouin frequency shift extraction via a convolutional neural network
Distributed optical fiber Brillouin sensors detect the temperature and strain along a fiber
according to the local Brillouin frequency shift (BFS), which is usually calculated by the …
according to the local Brillouin frequency shift (BFS), which is usually calculated by the …
State-of-the-art methods for determining the frequency shift of Brillouin scattering in fiber-optic metrology and sensing
AI Krivosheev, FL Barkov, YA Konstantinov… - Instruments and …, 2022 - Springer
This review describes state-of-the-art software and hardware methods for detecting the
frequency shift of a stimulated and spontaneous Brillouin scattering spectrum for the needs …
frequency shift of a stimulated and spontaneous Brillouin scattering spectrum for the needs …
Combining automatic speaker verification and prosody analysis for synthetic speech detection
The rapid spread of media content synthesis technology and the potentially damaging
impact of audio and video deepfakes on people's lives have raised the need to implement …
impact of audio and video deepfakes on people's lives have raised the need to implement …
An evolutionary-based sentiment analysis approach for enhancing government decisions during COVID-19 pandemic: The case of jordan
The world has witnessed recently a global outbreak of coronavirus disease (COVID-19).
This pandemic has affected many countries and has resulted in worldwide health concerns …
This pandemic has affected many countries and has resulted in worldwide health concerns …
Detection of weather images by using spiking neural networks of deep learning models
The transmission of weather information of a location at certain time intervals affects the
living conditions of the people there directly or indirectly. According to weather information …
living conditions of the people there directly or indirectly. According to weather information …
The effect of deep feature concatenation in the classification problem: an approach on COVID‐19 disease detection
In image classification applications, the most important thing is to obtain useful features.
Convolutional neural networks automatically learn the extracted features during training …
Convolutional neural networks automatically learn the extracted features during training …
Automatic evaluation of piano performances for STEAM education
V Phanichraksaphong, WH Tsai - Applied Sciences, 2021 - mdpi.com
Music plays an important part in the lives of people from an early age. Many parents invest in
music education of various types for their children as arts and music are of economic …
music education of various types for their children as arts and music are of economic …