Shape Deviation Generator--A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy

Research article (IEEE Transactions on Automation Science and Engineering, 2020) · cited 55× · AI/ML
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Shape Deviation Generator--A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy

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Shape Deviation Generator--A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Shape Deviation Generator--A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy. Retrieved May 24, 2026, from https://4ort.xyz/entity/shape-deviation-generator-a-convolution-framework-for-learning-and-predicting-3-d-printing-shape-accuracy
MLA “Shape Deviation Generator--A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/shape-deviation-generator-a-convolution-framework-for-learning-and-predicting-3-d-printing-shape-accuracy.
BibTeX @misc{4ortxyz_shape-deviation-generator-a-convolution-framework-for-learning-and-predicting-3-d-printing-shape-accuracy_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Shape Deviation Generator--A Convolution Framework for Learning and Predicting 3-D Printing Shape Accuracy}}, year = {2026}, url = {https://4ort.xyz/entity/shape-deviation-generator-a-convolution-framework-for-learning-and-predicting-3-d-printing-shape-accuracy}, note = {Accessed: 2026-05-24}}
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