Cite
Defect classification in pipes by neural networks using multiple guided ultrasonic wave features extracted after wavelet processing
MLA
Rizzo, Piervincenzo, et al. “Defect Classification in Pipes by Neural Networks Using Multiple Guided Ultrasonic Wave Features Extracted after Wavelet Processing.” Journal of Pressure Vessel Technology, vol. 127, no. 3, Aug. 2005, p. 294. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsggo&AN=edsgcl.136458187&authtype=sso&custid=ns315887.
APA
Rizzo, P., Bartoli, I., Marzani, A., & Scalea, F. L. di. (2005). Defect classification in pipes by neural networks using multiple guided ultrasonic wave features extracted after wavelet processing. Journal of Pressure Vessel Technology, 127(3), 294.
Chicago
Rizzo, Piervincenzo, Ivan Bartoli, Alessandro Marzani, and Francesco Lanza di Scalea. 2005. “Defect Classification in Pipes by Neural Networks Using Multiple Guided Ultrasonic Wave Features Extracted after Wavelet Processing.” Journal of Pressure Vessel Technology 127 (3): 294. http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsggo&AN=edsgcl.136458187&authtype=sso&custid=ns315887.