Results 111 to 120 of about 1,807 (175)

Deep Learning-Assisted Porosity Assessment for Additive Manufacturing Components Using Ultrasonic Coda Waves. [PDF]

Sensors (Basel)
Yuan X, Chen X, Wen F.
europepmc   +1 more source

Non-Destructive Testing and Evaluation of Hybrid and Advanced Structures: A Comprehensive Review of Methods, Applications, and Emerging Trends. [PDF]

Sensors (Basel)
Abdollahi-Mamoudan F, Ibarra-Castanedo C, Maldague XPV.   +2 more
europepmc   +1 more source

Multi-representation thermal features for enhanced defect analysis in pulse thermography. [PDF]

Sci Rep
Salah M, Werghi N, Svetinovic D, Sfarra S, Abdulrahman Y.   +4 more
europepmc   +1 more source

Non-Destructive Quantitative Characterization of Constituent Content in C/C-SiC Composites Based on Multispectral Photon-Counting X-Ray Detection. [PDF]

Sensors (Basel)
Yan X, He K, Gao G, Zhang J, Zhao Y, Wang G, Liu Y, Chang X.   +7 more
europepmc   +1 more source

Radio-frequency sensor for non-destructive evaluation of composite materials. [PDF]

Sci Rep
Samolej K, Ślot M, Busiakiewicz A, Ślot MJ, Zasada I.   +4 more
europepmc   +1 more source

Real time wire rope detection method based on Rockchip RK3588. [PDF]

Sci Rep
Qian M, Wang Y, Liu S, Xu Z, Ji Z, Chen M, Wu H, Zhang Z.   +7 more
europepmc   +1 more source

Advanced Signal Analysis Model for Internal Defect Mapping in Bridge Decks Using Impact-Echo Field Testing. [PDF]

Sensors (Basel)
Lamsal A, Lamsal B, Kim BJ, Ham SP, Jang D.   +4 more
europepmc   +1 more source

Optimization and predictive performance of fly ash-based sustainable concrete using integrated multitask deep learning framework with interpretable machine learning techniques. [PDF]

Sci Rep
Nandurkar BP, Raut JM, Hinge PK, Bahoria BV, Patil TR, Upadhye S, Vairagade VS, Shelare SD.   +7 more
europepmc   +1 more source

Non-destructive defect detection in powder metallurgy automotive oil pump stators using acoustic signals and machine learning classification. [PDF]

PLoS One
Hadizadeh Isfahani MH, Moeenfard H, Rohani A.   +2 more
europepmc   +1 more source

AI-Powered Structural Health Monitoring Using Multi-Type and Multi-Position PZT Networks. [PDF]

Sensors (Basel)
Gharavi H, Taban F, Korivand S, Jalili N.   +3 more
europepmc   +1 more source