Reinforcement learning based data fusion method for multi-sensors

2020 ◽  
Vol 7 (6) ◽  
pp. 1489-1497
Author(s):  
Tongle Zhou ◽  
Mou Chen ◽  
Jie Zou
Keyword(s):  
Reinforcement Learning ◽  
Data Fusion ◽  
Fusion Method

A Data Fusion Method For The Delayering Of X-Ray Fluorescence Images Of Painted Works Of Art

2021 ◽  
Author(s):  
L. D. Fiske ◽  
A. K. Katsaggelos ◽  
M. C. G. Aalders ◽  
M. Alfeld ◽  
M. Walton ◽  
...  
Keyword(s):  
Data Fusion ◽  
Fusion Method ◽  
X Ray ◽  
Works Of Art ◽  
Fluorescence Images

scholarly journals A multi-sensors weighted data fusion method based on measurement traversal correction

2021 ◽  
Vol 1846 (1) ◽  
pp. 012081
Author(s):  
Yang Jun Jia ◽  
Wang Bo Yuan ◽  
Shi Ye ◽  
Li Peng ◽  
Zhang Er Wei
Keyword(s):  
Data Fusion ◽  
Fusion Method ◽  
Weighted Data

A data fusion method of electronic nose and hyperspectral to identify the origin of rice

2021 ◽  
pp. 113184
Author(s):  
Yan Shi ◽  
Mei Liu ◽  
Ao Sun ◽  
Jingjing Liu ◽  
Hong Men
Keyword(s):  
Data Fusion ◽  
Electronic Nose ◽  
Fusion Method

Study of Data Fusion Mechanism Based on the WSN

2013 ◽  
Vol 321-324 ◽  
pp. 600-603
Author(s):  
Wei Liu ◽  
Qin Sheng Du ◽  
Le Le Wang
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Data Fusion ◽  
Wireless Sensor ◽  
Network Technology ◽  
Fusion Method ◽  
Simulation Test ◽  
Embedded Computing ◽  
New Type

Wireless sensor networks integrated four technologies including sensor, embedded computing, network technology and wireless communication. It is a new type of non-infrastructure wireless network. In this paper, a data fusion method has been brought forward based on wireless sensor networks, and through an algorithm simulation test, It is proved that the algorithm is effective to reduce the energy consumption of the network, and extend the lifetime of the network.

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