Results 291 to 300 of about 957,081 (355)
Some of the next articles are maybe not open access.
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 ...
Dietrich Uhlmann +2 more
openaire +2 more sources
IEEE Transactions on Instrumentation and Measurement, 2020
Sensor signals have been frequently used for activity recognition and gender classification in the literature. In this study, a new multikernel local diamond pattern (MK-LDP) is proposed as a novel local descriptor method for feature extraction.
T. Tuncer +3 more
semanticscholar +1 more source
Sensor signals have been frequently used for activity recognition and gender classification in the literature. In this study, a new multikernel local diamond pattern (MK-LDP) is proposed as a novel local descriptor method for feature extraction.
T. Tuncer +3 more
semanticscholar +1 more source
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.
Yuliya Tarnikova +3 more
openaire +2 more sources
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.
Erhard Höhne +3 more
openaire +2 more sources
Automated Smart Attendance System Using Face Recognition
International Conference Intelligent Computing and Control Systems, 2021In the human body, the face is the most crucial factor in identifying each person as it contains many vital details. There are different prevailing methods to capture person's presence like biometrics to take attendance which is a time-consuming process.
K. Preethi, Swathy Vodithala
semanticscholar +1 more source
Automated Pattern Recognition as a Temporary Replacement for Downhole Gauges
SPE Asia Pacific Oil & Gas Conference and Exhibition, 2020Abstract Automated pattern recognition with basic, high-level coding can be readily applied to petroleum production surveillance to reduce the impact of equipment failure. Machine learning is an application of regression techniques that range in complexity from simple linear regressions to convolutional neural networks.
Andrew Robson Watt +2 more
openaire +2 more sources
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
openaire +2 more sources
Automated Pattern Recognition: Video Weld Authentication System
SPIE Proceedings, 1990Our newly developed video weld authentication system recognizes common structural characteristics between welds. A weld fingerprint is archived for comparison at a later time to the reference weld for verification purposes. This verification procedure is performed using an IBM-PC/AT and state-of-the-art PC image-processing hardware and software.
Stephen W. Allison +2 more
openaire +2 more sources
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
Prakhar Mohan +3 more
openaire +2 more sources
Automated Pattern Recognition in Load Profiles of Milling Operations
Applied Mechanics and Materials, 2015Due to the introduction of an energy management system, a lot of existing manufacturing plants were equipped with energy measurement systems. With sufficient sample rates those retrofitted energy measuring systems could provide additional information beside active power and energy consumption.
Arnim Reger +2 more
openaire +2 more sources