3D Part Machining Time Prediction With Parameter Extraction, Deep Learning, and 3D Data Augmentation
In the aviation industry, an aircraft consists of thousands of detail parts in different types of materials. The sizes of these parts can range from centimeters to meters, and their complexity can also vary greatly. Therefore, there is a need to produce detail parts in a wide variety of geometries t...
Saved in:
| Main Authors: | Umut Nazmi Aktan, Mehmet Dikmen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11009018/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
3D Modeling and Augmented Reality for Learning
by: Adel Fridhi, et al.
Published: (2023-07-01) -
ImageAugmenter: A user-friendly 3D Slicer tool for medical image augmentation
by: Ciro Benito Raggio, et al.
Published: (2024-12-01) -
3D data augmentation and dual-branch model for robust face forgery detection
by: Changshuang Zhou, et al.
Published: (2025-03-01) -
Boosting 3D Object Detection with Adversarial Adaptive Data Augmentation Strategy
by: Shihao Li, et al.
Published: (2025-05-01) -
RepD3D: A tool for representative period identification and associated boundary condition extraction
by: Clayton Cyril Soares, et al.
Published: (2025-06-01)