## Abstract Traditional content‐based image retrieval (CBIR) systems use low‐level features such as colors, shapes, and textures of images. Although, users make queries based on semantics, which are not easily related to such low‐level characteristics. Recent works on CBIR confirm that researchers
On-line drilling chatter recognition and avoidance using an ART2—A neural network
✍ Scribed by Y.S. Tarng; T.C. Li; M.C. Chen
- Publisher
- Elsevier Science
- Year
- 1994
- Tongue
- English
- Weight
- 514 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0890-6955
No coin nor oath required. For personal study only.
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