Deep learning enable real-time photoacoustic tomography system via single data acquisition channel

2021 ◽  
Author(s):  
Daohuai Jiang ◽  
Hengrong Lan ◽  
Fei Gao
Keyword(s):  
Deep Learning ◽  
Data Acquisition ◽  
Real Time ◽  
Photoacoustic Tomography ◽  
Tomography System ◽  
Single Data

scholarly journals A real-time photoacoustic tomography system for small animals

2009 ◽  
Vol 17 (13) ◽  
pp. 10489 ◽  
Author(s):  
John Gamelin ◽  
Anastasios Maurudis ◽  
Andres Aguirre ◽  
Fei Huang ◽  
Puyun Guo ◽  
...  
Keyword(s):  
Real Time ◽  
Photoacoustic Tomography ◽  
Small Animals ◽  
Tomography System

scholarly journals Photoacoustic tomography system for noninvasive real-time three-dimensional imaging of epilepsy

2012 ◽  
Vol 3 (6) ◽  
pp. 1427 ◽  
Author(s):  
Bo Wang ◽  
Liangzhong Xiang ◽  
Max S. Jiang ◽  
Jianjun Yang ◽  
Qizhi Zhang ◽  
...  
Keyword(s):  
Real Time ◽  
Three Dimensional ◽  
Photoacoustic Tomography ◽  
Three Dimensional Imaging ◽  
Tomography System

Smart teaching mode based on particle swarm image recognition and human-computer interaction deep learning

2020 ◽  
Vol 39 (4) ◽  
pp. 5699-5711
Author(s):  
Shirong Long ◽  
Xuekong Zhao
Keyword(s):  
Feature Extraction ◽  
Particle Swarm Optimization ◽  
Deep Learning ◽  
Real Time ◽  
Image Recognition ◽  
Particle Swarm ◽  
Learning Technology ◽  
Search Performance ◽  
Swarm Optimization ◽  
Teaching Mode

The smart teaching mode overcomes the shortcomings of traditional teaching online and offline, but there are certain deficiencies in the real-time feature extraction of teachers and students. In view of this, this study uses the particle swarm image recognition and deep learning technology to process the intelligent classroom video teaching image and extracts the classroom task features in real time and sends them to the teacher. In order to overcome the shortcomings of the premature convergence of the standard particle swarm optimization algorithm, an improved strategy for multiple particle swarm optimization algorithms is proposed. In order to improve the premature problem in the search performance algorithm of PSO algorithm, this paper combines the algorithm with the useful attributes of other algorithms to improve the particle diversity in the algorithm, enhance the global search ability of the particle, and achieve effective feature extraction. The research indicates that the method proposed in this paper has certain practical effects and can provide theoretical reference for subsequent related research.

Real-time Worker Safety Management System Using Deep Learning-based Video Analysis Algorithm

2020 ◽  
Vol 9 (3) ◽  
pp. 25-30
Author(s):  
So Yeon Jeon ◽  
Jong Hwa Park ◽  
Sang Byung Youn ◽  
Young Soo Kim ◽  
Yong Sung Lee ◽  
...  
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Video Analysis ◽  
Management System ◽  
Safety Management ◽  
Worker Safety ◽  
Safety Management System ◽  
Analysis Algorithm
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