Anomaly Detection and Fault Classification of Printed Circuit Boards Based on Multimodal Features of the Infrared Thermal Imaging

Research article (IEEE Transactions on Instrumentation and Measurement, 2024) · cited 17× · AI/ML
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Anomaly Detection and Fault Classification of Printed Circuit Boards Based on Multimodal Features of the Infrared Thermal Imaging

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Anomaly Detection and Fault Classification of Printed Circuit Boards Based on Multimodal Features of the Infrared Thermal Imaging is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Anomaly Detection and Fault Classification of Printed Circuit Boards Based on Multimodal Features of the Infrared Thermal Imaging. Retrieved May 24, 2026, from https://4ort.xyz/entity/anomaly-detection-and-fault-classification-of-printed-circuit-boards-based-on-multimodal-features-of-the-infrared-therma
MLA “Anomaly Detection and Fault Classification of Printed Circuit Boards Based on Multimodal Features of the Infrared Thermal Imaging.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anomaly-detection-and-fault-classification-of-printed-circuit-boards-based-on-multimodal-features-of-the-infrared-therma.
BibTeX @misc{4ortxyz_anomaly-detection-and-fault-classification-of-printed-circuit-boards-based-on-multimodal-features-of-the-infrared-therma_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Anomaly Detection and Fault Classification of Printed Circuit Boards Based on Multimodal Features of the Infrared Thermal Imaging}}, year = {2026}, url = {https://4ort.xyz/entity/anomaly-detection-and-fault-classification-of-printed-circuit-boards-based-on-multimodal-features-of-the-infrared-therma}, note = {Accessed: 2026-05-24}}
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