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Programmable signal generator for neural network application
2017 29th International Conference on Microelectronics (ICM)
◽
10.1109/icm.2017.8268881
◽
2017
◽
Cited By ~ 1
Author(s):
Hassan Jouni
◽
Adnan Harb
◽
Gilles Jacquemod
◽
Yves Leduc
Keyword(s):
Neural Network
◽
Signal Generator
◽
Network Application
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Neural Network Application on Selection of the Best Correlation of Multiphase Flow in Pipes
10.29118/ipa.2446.03.se.004
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2018
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Author(s):
Riko Abdillah
Keyword(s):
Neural Network
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Multiphase Flow
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Selection Of
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A Neural Network Application of Fully Homomorphic Encryption for Cloud Computing
SSRN Electronic Journal
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10.2139/ssrn.3565268
◽
2020
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Author(s):
Megha Kolhekar
◽
Ashish Pandey
◽
Ayushi Raina
◽
Rijin Thomas
◽
Vaibhav Tiwari
◽
...
Keyword(s):
Neural Network
◽
Cloud Computing
◽
Homomorphic Encryption
◽
Fully Homomorphic Encryption
◽
Network Application
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Neural network application in phase-comparison carrier protection of EHV transmission line
3rd International Conference on Advances in Power System Control, Operation and Management (APSCOM 95)
◽
10.1049/cp:19951260
◽
1995
◽
Author(s):
Ye Ping
Keyword(s):
Neural Network
◽
Transmission Line
◽
Network Application
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Is designing a neural network application an art or a science?
ACM SIGCHI Bulletin
◽
10.1145/181518.181522
◽
1994
◽
Vol 26
(3)
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pp. 23-29
◽
Cited By ~ 1
Author(s):
Roman Erenshteyn
◽
Richard Foulds
◽
Scott Galuska
Keyword(s):
Neural Network
◽
Network Application
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Almost disturbance decoupling control of mimo nonlinear system subject to feedback linearization and a feedforward neural network: Application to half-car active suspension system
International Journal of Automotive Technology
◽
10.1007/s12239-010-0070-9
◽
2010
◽
Vol 11
(4)
◽
pp. 581-592
◽
Cited By ~ 7
Author(s):
T. H. S. Li
◽
C. J. Huang
◽
C. C. Chen
Keyword(s):
Neural Network
◽
Nonlinear System
◽
Feedback Linearization
◽
Suspension System
◽
Feedforward Neural Network
◽
Decoupling Control
◽
Almost Disturbance Decoupling
◽
Disturbance Decoupling
◽
Mimo Nonlinear System
◽
Network Application
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Neural network application to petrophysical and lithofacies analysis based on multi-scale data: An integrated study using conventional well log, core and borehole image data
Journal of Natural Gas Science and Engineering
◽
10.1016/j.jngse.2021.104015
◽
2021
◽
pp. 104015
Author(s):
Amer A. Shehata
◽
Osama A. Osman
◽
Bassem S. Nabawy
Keyword(s):
Neural Network
◽
Image Data
◽
Well Log
◽
Multi Scale
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Network Application
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Borehole Image
◽
Integrated Study
◽
Scale Data
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Neural Network Application to Multi-Step Prediction for Generalized Heave Displacement of Shipborne Helicopter Platform
2008 3rd International Conference on Innovative Computing Information and Control
◽
10.1109/icicic.2008.380
◽
2008
◽
Author(s):
Dong Wei
◽
Jiawei Ye
◽
Xilong Zhang
◽
Xi Wu
◽
Lidong Liang
Keyword(s):
Neural Network
◽
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Neural network application for optimizing multi-stage wind tunnel compressor efficiency
10.2514/6.2002-308
◽
2002
◽
Author(s):
F. Steinl
◽
R. Rosario
Keyword(s):
Neural Network
◽
Wind Tunnel
◽
Multi Stage
◽
Network Application
◽
Compressor Efficiency
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Design and Control of Dynamic Compensator-Type Controller Using Neural Network. (Application to Active Suspension Model).
TRANSACTIONS OF THE JAPAN SOCIETY OF MECHANICAL ENGINEERS Series C
◽
10.1299/kikaic.60.1296
◽
1994
◽
Vol 60
(572)
◽
pp. 1296-1302
Author(s):
Toshinari Shiotsuka
◽
Masahiro Egami
◽
Akio Nagamatsu
◽
Kazuo Yoshida
Keyword(s):
Neural Network
◽
Active Suspension
◽
Network Application
◽
Dynamic Compensator
◽
Suspension Model
◽
And Control
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Convolution Neural Network Application for Glioma Image Processing
2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC)
◽
10.1109/imcec.2018.8469348
◽
2018
◽
Author(s):
Yamei Zhang
◽
Liting Jing
Keyword(s):
Neural Network
◽
Image Processing
◽
Convolution Neural Network
◽
Network Application
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