Neural networks and genetic algorithms for combinatorial optimization of sensor data fusion

Mapping Intimacies ◽

10.1117/12.138215 ◽

1992 ◽

Author(s):

Angel L. DeCegama ◽

Jeffrey E. Smith

Keyword(s):

Neural Networks ◽

Genetic Algorithms ◽

Combinatorial Optimization ◽

Data Fusion ◽

Sensor Data ◽

Sensor Data Fusion

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Adaptive Multi-Sensor Data Fusion Positioning Algorithm Based On Long Short Term Memory Neural Networks

2020 IEEE 20th International Conference on Communication Technology (ICCT) ◽

10.1109/icct50939.2020.9295914 ◽

2020 ◽

Author(s):

Jie Zhou ◽

Guanghui Xu ◽

Donglin Zhu ◽

Enbiao Di

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Short Term Memory ◽

Sensor Data ◽

Term Memory ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion ◽

Long Short Term Memory ◽

Positioning Algorithm

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Multi sensor data fusion within hierarchical neural networks

10.1109/ijcnn.1990.137688 ◽

1990 ◽

Author(s):

J. Rajapakse ◽

R. Acharya

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Sensor Data ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion ◽

Hierarchical Neural Networks

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An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox

Sensors ◽

10.3390/s17020414 ◽

2017 ◽

Vol 17 (2) ◽

pp. 414 ◽

Author(s):

Luyang Jing ◽

Taiyong Wang ◽

Ming Zhao ◽

Peng Wang

Keyword(s):

Neural Networks ◽

Fault Diagnosis ◽

Data Fusion ◽

Convolutional Neural Networks ◽

Sensor Data ◽

Fusion Method ◽

Deep Convolutional Neural Networks ◽

Planetary Gearbox ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion

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Smart logistics using convolutional neural networks and sensor data fusion

2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) ◽

10.1109/icicict1.2017.8342841 ◽

2017 ◽

Author(s):

D. Pamela ◽

Mohana Krishna Chitoor

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Convolutional Neural Networks ◽

Sensor Data ◽

Sensor Data Fusion ◽

Smart Logistics

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Driving behavior classification based on sensor data fusion using LSTM recurrent neural networks

2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc.2017.8317835 ◽

2017 ◽

Author(s):

Khaled Saleh ◽

Mohammed Hossny ◽

Saeid Nahavandi

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Recurrent Neural Networks ◽

Driving Behavior ◽

Sensor Data ◽

Sensor Data Fusion

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Multi-sensor data fusion using neural networks

1990 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings ◽

10.1109/icsmc.1990.142240 ◽

2002 ◽

Author(s):

D.W. Fincher ◽

D.F. Mix

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Sensor Data ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion

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Neural Networks for multi-temporal and multi-sensor data fusion in land cover classification

Time-Varying Image Processing and Moving Object Recognition, 4 ◽

10.1016/b978-044482307-6/50021-7 ◽

1997 ◽

pp. 147-152 ◽

Author(s):

Alessandra Chiuderi

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Land Cover Classification ◽

Sensor Data ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion ◽

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Maximum entropy neural networks for feature enhanced imaging with collaborative microwave multi-sensor data fusion

2016 IEEE MTT-S Latin America Microwave Conference (LAMC) ◽

10.1109/lamc.2016.7851241 ◽

2016 ◽

Author(s):

Yuriy V. Shkvarko ◽

Josue A. Lopez ◽

Stewart R. Santos

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Maximum Entropy ◽

Sensor Data ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion ◽

Enhanced Imaging

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Multi-Sensor Data Fusion Identification for Shearer Cutting Conditions Based on Parallel Quasi-Newton Neural Networks and the Dempster-Shafer Theory

Sensors ◽

10.3390/s151128772 ◽

2015 ◽

Vol 15 (11) ◽

pp. 28772-28795 ◽

Author(s):

Lei Si ◽

Zhongbin Wang ◽

Xinhua Liu ◽

Chao Tan ◽

Jing Xu ◽

...

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Cutting Conditions ◽

Sensor Data ◽

Sensor Data Fusion ◽

Dempster Shafer Theory ◽

Multi Sensor Data Fusion ◽

Shafer Theory ◽

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Multi-sensor data fusion for sign language recognition based on dynamic Bayesian networks and convolution neural networks

Automatic Control, Mechatronics and Industrial Engineering ◽

10.1201/9780429468605-46 ◽

2019 ◽

pp. 329-336

Author(s):

Y.D. Zhao ◽

Q.K. Xiao ◽

H. Wang

Keyword(s):

Neural Networks ◽

Data Fusion ◽

Bayesian Networks ◽

Sign Language ◽

Dynamic Bayesian Networks ◽

Sensor Data ◽

Language Recognition ◽

Sign Language Recognition ◽

Sensor Data Fusion ◽

Multi Sensor Data Fusion

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