Results 291 to 300 of about 457,829 (308)

Automatic recognition of machining features using artificial neural networks

The International Journal of Advanced Manufacturing Technology, 2008
We report on the development of an intelligent system for recognizing prismatic part machining features from CAD models using an artificial neural network. A unique 12-node vector scheme has been proposed to represent machining feature families having variations in topology and geometry.
SUNIL, VB, PANDE, SS
openaire   +2 more sources

NC process analysis–based intersecting machining feature recognition and reuse approach

The International Journal of Advanced Manufacturing Technology, 2022
Jiachen Liang, Shusheng Zhang, Bo Huang, Yajun Zhang, Rui Huang   +4 more
semanticscholar   +1 more source

Feature Extraction in an Optical Character Recognition Machine

IEEE Transactions on Computers, 1971
A feature extraction technique for the next generation of optical character readers must be able to rapidly generate a quantity of discriminant functions using a minimum of equipment. The procedure described in this note generates a series of reference patterns for two-class discrimination and a feature ordering tree which may also be used to decode ...
openaire   +1 more source

Automatic machining feature recognition based on MBD and process semantics

Computers in industry (Print), 2022
Tong Xu, Jianxun Li, Zhuoning Chen
semanticscholar   +1 more source

Part machining feature recognition based on a deep learning method

Journal of Intelligent Manufacturing, 2021
Fangwei Ning, Yan Shi, M. Cai, Weiqing Xu   +3 more
semanticscholar   +1 more source

AAGNet: A graph neural network towards multi-task machining feature recognition

Robotics Comput. Integr. Manuf.
Hongjin Wu, Ruoshan Lei, Yibing Peng, Liang Gao   +3 more
semanticscholar   +1 more source

Text and Facial Features Recognition using Machine Intelligence

2022 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COM-IT-CON), 2022
Krishna Gopal, Sanjeev Kumar Prasad, Anju Kumari   +2 more
openaire   +1 more source

Recognition of Object’s Opening Features Using Machine Learning

2023 21st International Conference on Optical Communications and Networks (ICOCN), 2023
Yang Yue, Yiwen Zhang
openaire   +1 more source

Towards compact AI models for efficient machining feature recognition

Machining feature recognition is the first step in the automation of the design and production pipeline. Currently, this process relies on manual annotation by human experts, which is time-consuming and prone to errors. Computer Numerical Control (CNC) machines are automated tools that use pre-programmed computer software to control machining processes
Gkrispanis, Konstantinos, Nousias, Stavros, Borrmann, André   +2 more
openaire   +1 more source

FeatureNet: Machining feature recognition based on 3D Convolution Neural Network

Comput. Aided Des., 2018
Zhibo Zhang, Prakhar Jaiswal, R. Rai
semanticscholar   +1 more source