Microwave Non-destructive Testing Using K-Medoids Clustering Algorithm
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9005-4_42
Reference6 articles.
1. Yee TS, Akbar MF, Ghazali NA, Mohamed MFP (2022) Defects detection using complementary split ring resonator with microstrip patch antenna. In: Proceedings of the 11th international conference on robotics, vision, signal processing and power applications, Malaysia 829, pp 625–631. https://doi.org/10.1007/978-981-16-8129-5_95
2. Yee TS, Akbar MF (2022) Under Insulation microwave non-destructive testing using dual-ridges open-ended rectangular waveguide. In: Proceedings of the 11th International conference on robotics, vision, signal processing and power applications, Malaysia, pp 684–689. https://doi.org/10.1007/978-981-16-8129-5_104
3. Shrifan NHMM, Akbar MF, Isa NAM (2019) Prospect of using artificial intelligence for microwave nondestructive testing technique: a review. IEEE Access 7:110628–110650. https://doi.org/10.1109/ACCESS.2019.2934143
4. Yee TS, Shrifan NHMM, Al-Gburi AJA, Isa NAM, Akbar MF (2022) Prospect of Using machine learning-based microwave nondestructive testing technique for corrosion under insulation: a review. IEEE Access 10:88191–88210. https://doi.org/10.1109/ACCESS.2022.3197291
5. Tan SY, Firdaus Akbar M, Shrifan NHMM, Jawad GN, Nadhir M, Wahab A (2022) Assessment of defects under insulation using K-medoids clustering algorithm-based microwave nondestructive testing. Coatings 12:1440. https://doi.org/10.3390/COATINGS12101440
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