Deep learning approach for defective spot welds classification using small and class-imbalanced datasets
Summary
Deep learning approach for defective spot welds classification using small and class-imbalanced datasets is a scholarly article[1].
Key Facts
Deep learning approach for defective spot welds classification using small and class-imbalanced datasets's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Deep learning approach for defective spot welds classification using small and class-imbalanced datasets. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-learning-approach-for-defective-spot-welds-classification-using-small-and-class-imbalanced-datasets
MLA“Deep learning approach for defective spot welds classification using small and class-imbalanced datasets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-learning-approach-for-defective-spot-welds-classification-using-small-and-class-imbalanced-datasets.
BibTeX@misc{4ortxyz_deep-learning-approach-for-defective-spot-welds-classification-using-small-and-class-imbalanced-datasets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep learning approach for defective spot welds classification using small and class-imbalanced datasets}}, year = {2026}, url = {https://4ort.xyz/entity/deep-learning-approach-for-defective-spot-welds-classification-using-small-and-class-imbalanced-datasets}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep learning approach for defective spot welds classification using small and class-imbalanced datasets — https://4ort.xyz/entity/deep-learning-approach-for-defective-spot-welds-classification-using-small-and-class-imbalanced-datasets (retrieved 2026-05-24)