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Neural network application for distortional buckling capacity assessment of castellated steel beams
Structures
◽
10.1016/j.istruc.2020.07.027
◽
2020
◽
Vol 27
◽
pp. 1174-1183
◽
Cited By ~ 1
Author(s):
Mahmoud Hosseinpour
◽
Yasser Sharifi
◽
Hojjat Sharifi
Keyword(s):
Neural Network
◽
Capacity Assessment
◽
Steel Beams
◽
Distortional Buckling
◽
Network Application
Download Full-text
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References
New predictive equations for lateral-distortional buckling capacity assessment of cellular steel beams
Structures
◽
10.1016/j.istruc.2020.12.004
◽
2021
◽
Vol 29
◽
pp. 911-923
Author(s):
Adel Moghbeli
◽
Yasser Sharifi
Keyword(s):
Capacity Assessment
◽
Steel Beams
◽
Distortional Buckling
◽
Predictive Equations
Download Full-text
Stepwise regression approach for lateral-distortional buckling capacity assessment of cellular steel beams
Asian Journal of Civil Engineering
◽
10.1007/s42107-021-00383-y
◽
2021
◽
Author(s):
Adel Moghbeli
◽
Yasser Sharifi
Keyword(s):
Stepwise Regression
◽
Capacity Assessment
◽
Steel Beams
◽
Distortional Buckling
◽
Regression Approach
Download Full-text
Neural Network Application on Selection of the Best Correlation of Multiphase Flow in Pipes
10.29118/ipa.2446.03.se.004
◽
2018
◽
Author(s):
Riko Abdillah
Keyword(s):
Neural Network
◽
Multiphase Flow
◽
Network Application
◽
Selection Of
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A Neural Network Application of Fully Homomorphic Encryption for Cloud Computing
SSRN Electronic Journal
◽
10.2139/ssrn.3565268
◽
2020
◽
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)
◽
pp. 23-29
◽
Cited By ~ 1
Author(s):
Roman Erenshteyn
◽
Richard Foulds
◽
Scott Galuska
Keyword(s):
Neural Network
◽
Network Application
Download Full-text
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
◽
Network Application
◽
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
◽
Network Application
Download Full-text
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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