Estimating bead width and depth of penetration during welding by infrared thermal imaging

By Menaka M   Vasudevan M   Venkatraman B   Raj Baldev  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 47, Iss. 9, 2005-09 ,pp. : 564-568

The British Institute of Non-Destructive Testing

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Automatic classification of weld defects using simulated data and an MLP neural network

By Lim T Y   Ratnam M M   Khalid M A  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 3, 2007-03 ,pp. : 154-159

The British Institute of Non-Destructive Testing

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Automatic weld bead extraction from digitised radiographs using grey level intensity profiles and least-squares fitting

By Lim T Y   Ratnamand M M   Khalid M A  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 50, Iss. 1, 2008-01 ,pp. : 8-13

The British Institute of Non-Destructive Testing

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Combining fuzzy logic and neural networks in classification of weld defects using ultrasonic time-of-flight diffraction

By Shitole C'Shekhar N   Zahran O   Al-Nuaimy W  

Insight - Non-Destructive Testing and Condition Monitoring, Vol. 49, Iss. 2, 2007-02 ,pp. : 79-82

The British Institute of Non-Destructive Testing

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EEG Source Localization Using a Genetic Algorithm-Based Artificial Neural Network

By Karakis Rukiye   Capraz Irem   Bilir Erhan   Guler Inan  

Recent Patents on Biomedical Engineering, Vol. 6, Iss. 3, 2013-12 ,pp. : 188-194

Bentham Science Publishers

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