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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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Artificial intelligence for pattern recognition in automated surface engineering
2012 International Conference on Systems and Informatics (ICSAI2012), 2012Ability to measure the surface quality in real-time has many applications in manufacturing automation and product optimization, especially in processes in which the surface qualities such as roughness, grain size, thickness of coding, impurities size and distribution, hardness, and other mechanical properties are of importance.
E. Sheybani +3 more
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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
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Reservoir Heterogeneity Mapping Using an Automated Pattern Recognition Approach
Proceedings of SPE Annual Technical Conference and Exhibition, 1999Abstract In reservoirs with complex structure, such as turbidite sequences, rock fabrics exhibit great variations both vertically (example-Bouma sequences) and in lateral direction. In such formations, patterns observed on lithological logs can show considerable differences.
Mahnaz Hassibi, Iraj Ershaghi
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Automated mammogram classification using a multiresolution pattern recognition approach
Proceedings XIV Brazilian Symposium on Computer Graphics and Image Processing, 2002In order to fully achieve automated mammogram analysis one has to tackle two problems: classification of radial, circumscribed microcalcifications, and normal samples; and classification of benign, malignant, and normal samples. How to extract and select the best features from the images for classification is a very difficult task, since all of those ...
C.B.R. Ferreira, D.L. Borges
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Automated alignment and pattern recognition of single‐molecule force spectroscopy data
Journal of Microscopy, 2005SummaryRecently, direct measurements of forces stabilizing single proteins or individual receptor–ligand bonds became possible with ultra‐sensitive force probe methods like the atomic force microscope (AFM). In force spectroscopy experiments using AFM, a single molecule or receptor–ligand pair is tethered between the tip of a micromachined cantilever ...
M, Kuhn +3 more
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Automated Discrimination of Gait Patterns Based on sEMG Recognition
2013A general scheme of automated discrimination of gait patterns based on recognition of surface electromyogram of lower limbs is proposed to classify three different terrains and six different movement patterns. To verify the effectiveness of different feature extraction methods, time–frequency features such as RMS and MF, wavelet variance and matrix ...
Fei Wang +4 more
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Automated Rain-Rate Classification of Satellite Images Using Statistical Pattern Recognition
IEEE Transactions on Geoscience and Remote Sensing, 1985This paper describes an automated procedure to determine rain rates in visible and infrared satellite images by means of statistical pattern recognition. Using brightness and textural features extracted from the images, the procedure classifies 8 km X 8 km windows of data into one of three classes of rain rate: none, light, and heavy.
Lee, Bonita G +2 more
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Computer-Aided Diagnostics and Pattern Recognition: Automated Glaucoma Detection
2014Glaucoma is one of the major causes for blindness with a high rate of unreported cases. To reduce this number, screening programs are performed. However, these are characterized by a high workload for manual and cost-intensive assessment. Computer-aided diagnostics (CAD) to perform an automated pre-exclusion of normals might help to improve program’s ...
Thomas Köhler +3 more
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