Abstract
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Konstantinos Gkrispanis, Stavros Nousias, Jovana Knezevic-Sorger, Claas Röver, André Borrmann
Abstract
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Provenance
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10.1016/0010-4485(95)00007-0 · doi-reference
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10.1243/0954405001517810 · doi-reference
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10.1016/0010-4485(90)90109-p · doi-reference
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10.1016/0010-4485(90)90088-t · doi-reference
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10.1016/s0010-4485(98)00033-5 · doi-reference
Graph based automatic process planning system for multi-tasking machine
10.1299/jamdsm.2015jamdsm0034 · doi-reference
A review of machining feature recognition methodologies
10.1080/09511921003642121 · doi-reference
A survey on smart automated computer-aided process planning (ACAPP) techniques
10.1007/s00170-018-1966-1 · doi-reference
Recursive encoder network for the automatic analysis of STEP files
10.1007/s10845-022-01998-x · doi-reference
A semi-supervised learning framework for machining feature recognition on small labeled sample
10.3390/app13053181 · doi-reference
Bringing attention to CAD: Boundary representation learning via transformer
10.1016/j.cad.2025.103940 · doi-reference
Fusion 360 gallery: A dataset and environment for programmatic CAD construction from human design sequences
10.1145/3450626.3459818 · doi-reference
10.1109/cvpr46437.2021.01258
10.1109/cvpr46437.2021.01258 · doi-reference
Hierarchical CADNet: Learning from B-Reps for machining feature recognition
10.1016/j.cad.2022.103226 · doi-reference
A data-driven approach for volume feature recognition based on cell graph
10.1080/0951192x.2024.2387767 · doi-reference