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Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material

Research article (Journal of Materials Processing Technology, 2022) · cited 117× · AI/ML
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Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material

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Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material. Retrieved May 24, 2026, from https://4ort.xyz/entity/real-time-anomaly-detection-using-convolutional-neural-network-in-wire-arc-additive-manufacturing-molybdenum-material
MLA “Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/real-time-anomaly-detection-using-convolutional-neural-network-in-wire-arc-additive-manufacturing-molybdenum-material.
BibTeX @misc{4ortxyz_real-time-anomaly-detection-using-convolutional-neural-network-in-wire-arc-additive-manufacturing-molybdenum-material_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Real-time anomaly detection using convolutional neural network in wire arc additive manufacturing: Molybdenum material}}, year = {2026}, url = {https://4ort.xyz/entity/real-time-anomaly-detection-using-convolutional-neural-network-in-wire-arc-additive-manufacturing-molybdenum-material}, note = {Accessed: 2026-05-24}}
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