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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

Abdeljaber, Osama ; Avci, Onur ; Kiranyaz, Mustafa Serkan ; Boashash, Boualem ; Sodano, Henry ; Inman, Daniel J.

Neurocomputing (Amsterdam), 2018-01, Vol.275, p.1308-1317 [Periódico revisado por pares]

Elsevier B.V

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1-Norm extreme learning machine for regression and multiclass classification using Newton method
1-Norm extreme learning machine for regression and multiclass classification using Newton method
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1-Norm extreme learning machine for regression and multiclass classification using Newton method

Balasundaram, S. ; Gupta, Deepak ; Kapil

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.4-14 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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3
1-Norm least squares twin support vector machines
1-Norm least squares twin support vector machines
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1-Norm least squares twin support vector machines

Gao, Shangbing ; Ye, Qiaolin ; Ye, Ning

Neurocomputing (Amsterdam), 2011-10, Vol.74 (17), p.3590-3597 [Periódico revisado por pares]

Elsevier B.V

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4
1.2 Watt Classification of 3D Voxel Based Point-clouds using a CNN on a Neural Compute Stick
1.2 Watt Classification of 3D Voxel Based Point-clouds using a CNN on a Neural Compute Stick
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1.2 Watt Classification of 3D Voxel Based Point-clouds using a CNN on a Neural Compute Stick

Xu, Xiaofan ; Caulfield, Sam ; Amaro, Joao ; Falcao, Gabriel ; Moloney, David

Neurocomputing (Amsterdam), 2020-06, Vol.393, p.165-174 [Periódico revisado por pares]

Elsevier B.V

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5
1993 International workshop on artificial neural networks (IWANN'93)
1993 International workshop on artificial neural networks (IWANN'93)
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1993 International workshop on artificial neural networks (IWANN'93)

Neurocomputing (Amsterdam), 1994-04, Vol.6 (2), p.277-280 [Periódico revisado por pares]

Elsevier B.V

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6
1st Appalachian Conference on behavioral neurodynamics: Processing in biological neural networks: 17–20 September 1992, Radford University, Virginia, USA
1st Appalachian Conference on behavioral neurodynamics: Processing in biological neural networks: 17–20 September 1992, Radford University, Virginia, USA
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1st Appalachian Conference on behavioral neurodynamics: Processing in biological neural networks: 17–20 September 1992, Radford University, Virginia, USA

Prueitt, Paul S. ; Erwin, Harry

Neurocomputing (Amsterdam), 1993, Vol.5 (1), p.79-85 [Periódico revisado por pares]

Elsevier B.V

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7
2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM
2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM
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2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM

Liu, Bing ; Tang, Liwei ; Wang, Jianbin ; Li, Aihua ; Hao, Yali

Neurocomputing (Amsterdam), 2014-03, Vol.128, p.217-223 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
2-D direction histogram based entropic thresholding
2-D direction histogram based entropic thresholding
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2-D direction histogram based entropic thresholding

Yimit, Adiljan ; Hagihara, Yoshihiro ; Miyoshi, Tasuku ; Hagihara, Yukari

Neurocomputing (Amsterdam), 2013-11, Vol.120, p.287-297 [Periódico revisado por pares]

Elsevier B.V

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9
2-D direction histogram based entropic thresholding : Image Feature Detection and Description
2-D direction histogram based entropic thresholding : Image Feature Detection and Description
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2-D direction histogram based entropic thresholding : Image Feature Detection and Description

YIMIT, Adiljan ; HAGIHARA, Yoshihiro ; MIYOSHI, Tasuku ; HAGIHARA, Yukari

Neurocomputing (Amsterdam), 2013, Vol.120, p.287-297 [Periódico revisado por pares]

Amsterdam: Elsevier

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10
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression
2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression
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2-D regularized locality preserving projection algorithms for temporospatial feature reduction and its application in industrial data regression

Zhou, Xiaojie ; Wang, Dianhui ; Shao, Zhugui

Neurocomputing (Amsterdam), 2015-12, Vol.169, p.373-382 [Periódico revisado por pares]

Elsevier B.V

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