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Detection of Defective Bolts from Rotational Ultrasonic Scans Using Convolutional Neural Networks.

, , , , , and . ICAC, page 1-6. IEEE, (2022)

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DefectDet: A deep learning architecture for detection of defects with extreme aspect ratios in ultrasonic images., , , , and . Neurocomputing, (2022)Automated Ultrasonic Testing of Materials based on C-scan Flaw Classification., , , , , and . ISPA, page 230-234. IEEE, (2021)Flaw Detection from Ultrasonic Images using YOLO and SSD., , , , , and . ISPA, page 163-168. IEEE, (2019)Ultrasound Anomaly Detection Based on Variational Autoencoders., , , , , and . ISPA, page 225-229. IEEE, (2021)Synthetic 3D Ultrasonic Scan Generation Using Optical Flow and Generative Adversarial Networks., , , , , and . ISPA, page 213-218. IEEE, (2021)Rapid Defect Detection by Merging Ultrasound B-scans from Different Scanning Angles., , , , , and . ISPA, page 219-224. IEEE, (2021)Detection of Defective Bolts from Rotational Ultrasonic Scans Using Convolutional Neural Networks., , , , , and . ICAC, page 1-6. IEEE, (2022)Generative adversarial network with object detector discriminator for enhanced defect detection on ultrasonic B-scans., , , , and . CoRR, (2021)Smartphone Based Range of Motion Measurement in Physiotherapy., , , , , and . MIPRO, page 197-202. IEEE, (2020)FRAnomaly: flow-based rapid anomaly detection from images., , , , , and . Appl. Intell., 54 (4): 3502-3515 (2024)