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A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study
Research article (IEEE Transactions on Automation Science and Engineering, 2022) · cited 49× · AI/ML
A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study
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A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study is a scholarly article[1].
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A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-deep-convolutional-autoencoder-based-approach-for-anomaly-detection-with-industrial-non-images-2-dimensional-data-a-se
MLA“A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-deep-convolutional-autoencoder-based-approach-for-anomaly-detection-with-industrial-non-images-2-dimensional-data-a-se.
BibTeX@misc{4ortxyz_a-deep-convolutional-autoencoder-based-approach-for-anomaly-detection-with-industrial-non-images-2-dimensional-data-a-se_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study}}, year = {2026}, url = {https://4ort.xyz/entity/a-deep-convolutional-autoencoder-based-approach-for-anomaly-detection-with-industrial-non-images-2-dimensional-data-a-se}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Deep Convolutional Autoencoder-Based Approach for Anomaly Detection With Industrial, Non-Images, 2-Dimensional Data: A Semiconductor Manufacturing Case Study — https://4ort.xyz/entity/a-deep-convolutional-autoencoder-based-approach-for-anomaly-detection-with-industrial-non-images-2-dimensional-data-a-se (retrieved 2026-05-24)
