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Simple Real-Time Pattern Recognition for Industrial Automation
Proceedings of the 2017 International Conference on Industrial Design Engineering, 2017Industrial automation often involves time-intensive operations on real-time inputs, and accuracy is critical to the functioning of the full industrial pipeline. While older methods are simplistic but inaccurate, newer methods are more accurate but often complex and time-consuming. In this paper, we achieve 100% accuracy using simple methods on an image
Vikram Voleti +3 more
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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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Success potential of automated star pattern recognition
24th Aerospace Sciences Meeting, 1986A quasi-analytical model is presented for calculating the success probability of automated star pattern recognition systems for attitude control of spacecraft. The star data is gathered by an imaging star tracker (STR) with a circular FOV capable of detecting 20 stars.
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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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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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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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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 Pattern Recognition of Phytoplankton – Procedure and Results
Internationale Revue der gesamten Hydrobiologie und Hydrographie, 1980AbstractPictures of phytoplankton samples were analyzed as raster images by means of a television camera and a Robotron 4200 computer. A feature vector described the objects irrespective of their angle. Each of the five genera involved were identifiable by a characteristic point cluster in a p‐dimensional feature space.
Olaf Schlimpert +3 more
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Automated diagnosis of Coronary Artery Disease using pattern recognition approach
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017Coronary Artery Disease (CAD) is the most leading Cardiovascular Disease (CVD), which results due to buildup of plaque inside the coronary arteries. The CAD and Normal Sinus Rhythm (NSR) heartbeats can be discriminated and diagnosed noninvasively using the standard tool Electrocardiogram (ECG).
Usha, Desai +3 more
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Pattern recognition methods for automated detection and quantification
2018<p>Pattern recognition has over past decades become a fast growing area of chemometrics. Accurate, user-friendly, and fast pattern recognition methods are desired to accommodate the increased capacity of automated instruments to obtain large-scale data under complex circumstances.
Hua Yu +5 more
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