NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

Chen, Fu-Chen; Jahanshahi, Mohammad R

doi:10.1109/TIE.2017.2764844

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NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

Author(s): Fu-Chen Chen , Mohammad R. Jahanshahi

Publication date (Print): May 2018

Journal: IEEE Transactions on Industrial Electronics

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

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Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Young-Jin Cha, Oral Büyüköztürk, Wooram Choi (2017)

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Analysis of Edge-Detection Techniques for Crack Identification in Bridges

Ikhlas Abdel-Qader, Osama Abudayyeh, Michael Kelly (2003)

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Non-parametric local transforms for computing visual correspondence

Ramin Zabih, John Iselin Woodfill (1994)

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Author and article information

Journal

Title: IEEE Transactions on Industrial Electronics

Abbreviated Title: IEEE Trans. Ind. Electron.

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 0278-0046

ISSN (Electronic): 1557-9948

Publication date Created: May 2018

Publication date (Print): May 2018

Volume: 65

Issue: 5

Pages: 4392-4400

Article

DOI: 10.1109/TIE.2017.2764844

SO-VID: 2a81380c-0c40-4881-9d27-ab53c54a7f58

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NB-CNN: Deep Learning-Based Crack Detection Using Convolutional Neural Network and Naïve Bayes Data Fusion

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Genome Engineering using CRISPR

Most cited references 21

Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks

Analysis of Edge-Detection Techniques for Crack Identification in Bridges

Non-parametric local transforms for computing visual correspondence

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