Inversion using adaptive physics-based neural network: Application to magnetotelluric inversion

Mapping Intimacies ◽

10.1190/segam2021-3582218.1 ◽

2021 ◽

Author(s):

Taqi Alyousuf ◽

Yaoguo Li

Keyword(s):

Neural Network ◽

Network Application ◽

Magnetotelluric Inversion

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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 ◽

2018 ◽

Author(s):

Riko Abdillah

Keyword(s):

Neural Network ◽

Multiphase Flow ◽

Network Application ◽

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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 ◽

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 ◽

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 ◽

Well Log ◽

Multi Scale ◽

Network Application ◽

Borehole Image ◽

Integrated Study ◽

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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

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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 ◽

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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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