Machining Scheme Selection of Features Based on Process Knowledge Graph and Improved Cosine Similarity Matching
The machining scheme selection (MSS) for features is to choose the optimal machining scheme for a feature before machining. To solve the issue of excessive human subjectivity in the traditional MSS, this paper proposes a simple and easy-to-use method based on process knowledge graph retrieval and th...
Saved in:
| Main Authors: | Lin Wang, Hao Cheng, Rui Wang, Xunzhuo Huang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-02-01
|
| Series: | Machines |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-1702/13/3/188 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improved Cosine Similarity-based Artificial Bee Colony Optimization scheme for reactive and dynamic service composition
by: N. Arunachalam, et al.
Published: (2022-02-01) -
Aplikasi Ruang Tugas Dengan Deteksi Kemiripan Teks Pada Dokumen Tugas Menggunakan Cosine Similarity
by: Tazkia Aulia Prismadana
Published: (2023-10-01) -
Investigating the Relationship Between Text Vectorization Cosine Similarity and Classification Performance
by: Fernando Rezende Zagatti, et al.
Published: (2025-01-01) -
Smart Education in Action: AI-Based Quality Assessment of Journalism and Media Teaching Practices using the Neutrosophic Cosine Similarity Measure
by: Feifan Wang
Published: (2025-05-01) -
Histogram and cosine similarity based magnetizing inrush current identification for main transformer in photovoltaic power station
by: LUAN Yunfei, et al.
Published: (2025-07-01)