Accurate CMOS bridge fault modeling with neural network-based VHDL saboteurs

IEEE/ACM International Conference on Computer Aided Design. ICCAD 2001. IEEE/ACM Digest of Technical Papers (Cat. No.01CH37281) ◽

10.1109/iccad.2001.968700 ◽

2002 ◽

Author(s):

D. Shaw ◽

D. Al-Khalili ◽

C. Rozon

Keyword(s):

Neural Network ◽

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Ic bridge fault modeling for ip blocks using neural network-based vhdl saboteurs

IEEE Transactions on Computers ◽

10.1109/tc.2003.1234526 ◽

2003 ◽

Vol 52 (10) ◽

pp. 1285-1297 ◽

Author(s):

D.B. Shaw ◽

D. Al-Khalili ◽

C.N. Rozon

Keyword(s):

Neural Network ◽

Fault Modeling ◽

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Rudder servo-system fault diagnosis using neural network fault modeling

IEEE Oceanic Engineering Society. OCEANS'98. Conference Proceedings (Cat. No.98CH36259) ◽

10.1109/oceans.1998.725805 ◽

2002 ◽

Author(s):

Z. Vukic ◽

D. Pavlekovic ◽

H. Ozbolt

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Servo System ◽

Fault Modeling ◽

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Autofluorescence spectroscopy of oral leukoplakia using an artificial neural network

Clinical Otolaryngology ◽

10.1046/j.1365-2273.2000.00358-12.x ◽

2000 ◽

Vol 25 (4) ◽

pp. 325-325

Author(s):

J.L.N. Roodenburg ◽

H.J. Van Staveren ◽

N.L.P. Van Veen ◽

O.C. Speelman ◽

J.M. Nauta ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Oral Leukoplakia ◽

Autofluorescence Spectroscopy ◽

Artificial Neural

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Neural network based principal components analysis for EEG pre-processing and analysis

Electroencephalography and Clinical Neurophysiology ◽

10.1016/s0013-4694(97)88499-8 ◽

1997 ◽

Vol 103 (1) ◽

pp. 115

Author(s):

S Petránek

Keyword(s):

Neural Network ◽

Principal Components Analysis ◽

Principal Components ◽

Components Analysis

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Identifying the neural network for selective attention to visceral sensation using functional magnetic resonance imaging

Gastroenterology ◽

10.1016/s0016-5085(01)80112-8 ◽

2001 ◽

Vol 120 (5) ◽

pp. A23-A23

Author(s):

L GREGORY ◽

L YAGUEZ ◽

C ALTMANN ◽

S WILLIAMS ◽

D THOMPSON ◽

...

Keyword(s):

Neural Network ◽

Magnetic Resonance Imaging ◽

Magnetic Resonance ◽

Functional Magnetic Resonance Imaging ◽

Selective Attention ◽

Visceral Sensation ◽

Functional Magnetic Resonance ◽

Resonance Imaging ◽

The Neural Network

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1902: Is Steinstrasse After ESWL of Renal Stones Predictable? Artificial Neural Network Analysis

The Journal of Urology ◽

10.1016/s0022-5347(18)39094-3 ◽

2004 ◽

Vol 171 (4S) ◽

pp. 502-503

Author(s):

Mohamed A. Gomha ◽

Khaled Z. Sheir ◽

Saeed Showky ◽

Khaled Madbouly ◽

Emad Elsobky ◽

...

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Network Analysis ◽

Renal Stones ◽

Neural Network Analysis ◽

Artificial Neural Network Analysis ◽

Artificial Neural

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Effect of the delay on the boundary of the basin of attraction in a Hopfield neural network system

PsycEXTRA Dataset ◽

10.1037/e429062008-001 ◽

2008 ◽

Keyword(s):

Neural Network ◽

Basin Of Attraction ◽

Hopfield Neural Network ◽

Network System ◽

Neural Network System ◽

The Basin Of Attraction

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Three-Dimensional Cognitive Mapping With a Neural Network

PsycEXTRA Dataset ◽

10.1037/e501882009-547 ◽

2000 ◽

Author(s):

Horatiu Voicu ◽

Nestor Schmajuk

Keyword(s):

Neural Network ◽

Cognitive Mapping ◽

Three Dimensional

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Recognizing Sarcasm in Twitter: A Comparison of Neural Network and Human Performance

PsycEXTRA Dataset ◽

10.1037/e524912015-275 ◽

2014 ◽

Author(s):

David Kovaz ◽

Roger Kreuz

Keyword(s):

Neural Network ◽

Human Performance

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A Resting State fMRI Study on The Functional Connectivity, Neural Network Architecture and Neural Network Properties of PTSD

PsycEXTRA Dataset ◽

10.1037/e533652013-471 ◽

2012 ◽

Author(s):

Xiaodan Yan ◽

Charles Marmar

Keyword(s):

Neural Network ◽

Functional Connectivity ◽

Resting State ◽

Network Architecture ◽

Resting State Fmri ◽

Neural Network Architecture ◽

Network Properties

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