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Entidhar A. Alkuam
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Journal Articles

Development of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal

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Wissam M. Alobaidi, Entidhar A. Alkuam, Eric Sandgren
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Research-Article
J. Pressure Vessel Technol. August 2018, 140(4): 041501.
Paper No: PVT-17-1098
https://doi.org/10.1115/1.4040360
Published Online: June 18, 2018
View Articletitled, Development of an Optimized Neural Network for the Detection of Pipe Defects Using a Microwave Signal
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Topics: Artificial neural networks, Pipes, Microwaves, Signals, Topology, Optimization
Journal Articles

Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning

Available to Purchase
Wissam M. Alobaidi, Clifford E. Kintner, Entidhar A. Alkuam, Kota Sasaki, Noritaka Yusa, Hidetoshi Hashizume, Eric Sandgren
Journal: Journal of Pressure Vessel Technology
Publisher: ASME
Article Type: Research-Article
J. Pressure Vessel Technol. February 2018, 140(1): 011501.
Paper No: PVT-17-1084
https://doi.org/10.1115/1.4038517
Published Online: December 1, 2017
View Articletitled, Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning
Open the PDF for Experimental Evaluation of Novel Hybrid Microwave/Ultrasonic Technique to Locate and Characterize Pipe Wall Thinning in another window
Topics: Calibration, Microwaves, Pipes, Probes, Shapes, Signals