CNN-Based Classification of Optically Critical Cutting Tools with Complex Geometry: New Insights for CNN-Based Classification Tasks
Sustainability has increasingly emphasized the importance of recycling and repairing materials. Cutting tools, such as milling cutters and drills, play a crucial role due to the high demands placed on products used in CNC machining. As a result, the repair and regrinding of these tools have become m...
Saved in:
| Main Authors: | Mühenad Bilal, Ranadheer Podishetti, Tangirala Sri Girish, Daniel Grossmann, Markus Bregulla |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-03-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/25/5/1575 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Benchmarking CNN Architectures for Tool Classification: Evaluating CNN Performance on a Unique Dataset Generated by Novel Image Acquisition System
by: Muhenad Bilal, et al.
Published: (2025-01-01) -
Disaster Recognition and Classification Based on Improved ResNet-50 Neural Network
by: Lei Wen, et al.
Published: (2025-05-01) -
Research on Image Feature Extraction and Environment Inference Based on Invariant Learning
by: Yujian Ding, et al.
Published: (2024-11-01) -
Weakly-Supervised Segmentation-Based Quantitative Characterization of Pulmonary Cavity Lesions in CT Scans
by: Wenyu Xing, et al.
Published: (2024-01-01) -
Corn leaf disease diagnosis: enhancing accuracy with resnet152 and grad-cam for explainable AI
by: Kirubasri Gopalan, et al.
Published: (2025-04-01)