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A review of automated feature recognition with rule-based pattern recognition
Computers in Industry, 2008Automated feature recognition (AFR) has provided the greatest contribution to fully automated CAPP system development. The objective of this paper is to review various approaches for solving three major AFR problems: (i) extraction of geometric primitives from a CAD model; (ii) defining a suitable part representation for form feature identification ...
Bojan Babić, Zoran Miljković
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Pattern recognition for automated wire bonding
IEE Proceedings E Computers and Digital Techniques, 1984The design and development of an integrated pattern-recognition system for transistor/LED wire bonding is presented. The system uses a M6809 microprocessor for computation. Three recognition algorithms are studied, and their relative performances are compared.
Li, HF, Tsang, CM, Cheung, YS
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A Pattern Recognition approach to automated XBRL extraction
2012 IEEE Conference on Computational Intelligence for Financial Engineering & Economics (CIFEr), 2012Using example-based Pattern Recognition methods and combining years of developing both EDGAR filings and natural language processing software, BCL Technologies has developed SmartXBRL©, a simplified and automated way to create a compliant XBRL document.
Hassan Alam +3 more
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Automated die inking: A pattern recognition-based approach
2017 IEEE International Test Conference (ITC), 2017Manual wafer-level die inking is a common procedure for excluding die locations that are likely to be defective. Although this is a more cost-effective process, as compared to the expensive burn-in tests, it remains a labor-intensive step during IC testing.
Constantinos Xanthopoulos +3 more
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Distributed industrial automation systems: Automated communication patterns recognition
2011 IEEE International Conference on Industrial Technology, 2011Modern manufacturing systems have to continuously adapt to variable custom environment, satisfy to discerning expectations of customers and maintain in the increasing competition. Nowadays, manufacturing plants are very complex, in many cases distributed, composed of many subsystems with different functions that are exchanging a vast amount of data, i ...
Ondrej Kaspar, Miloslav Radakovic
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Towards Automated Classifier Combination for Pattern Recognition
2003This study covers weighted combination methodologies for multiple classifiers to improve classification accuracy. The classifiers are extended to produce class probability estimates besides their class label assignments to be able to combine them more efficiently.
Alper Baykut, Aytül Erçil
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Automated Phytoplankton Analysis by a Pattern Recognition Method
Internationale Revue der gesamten Hydrobiologie und Hydrographie, 1978AbstractAn automated image processing and pattern recognition system was applied to the identification of the following genera exhibiting distinct differences in shape: Asterionella, Melosira, Fragilaria, Ceratium, Peridinium. The classification structure developed by a computer program was able to attribute all colonies or cells considered to the ...
D. Uhlmann, O. Schlimpeet, W. Uhlmann
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Automation: image analysis and pattern recognition
1991The instrumentation for quantitative analysis of microscopic images has been discussed in the previous chapter. Quantitative analysis may vary from a relatively simple length measurement to a more complex determination of the enzyme or DNA content of a cytochemically stained cell.
J. James, H. J. Tanke
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