Results 1 to 10 of about 82,768 (165)

Automated, high accuracy classification of Parkinsonian disorders: a pattern recognition approach. [PDF]

PLoS ONE, 2013
Progressive supranuclear palsy (PSP), multiple system atrophy (MSA) and idiopathic Parkinson's disease (IPD) can be clinically indistinguishable, especially in the early stages, despite distinct patterns of molecular pathology.
Andre F Marquand, Maurizio Filippone, John Ashburner, Mark Girolami, Janaina Mourao-Miranda, Gareth J Barker, Steven C R Williams, P Nigel Leigh, Camilla R V Blain   +8 more
doaj   +6 more sources

Towards automated statistical partial discharge source classification using pattern recognition techniques

High Voltage, 2018
This study presents a comprehensive review of the automated classification in partial discharge (PD) source identification and probabilistic interpretation of the classification results based on the relationship between the variation of the phase ...
Hamed Janani, Behzad Kordi
doaj   +3 more sources

Fuzzy Rule-based System for Pattern Recognition and Automated Classification [PDF]

Computer Science Journal of Moldova, 2017
The sorting method contains a fuzzy system that classifies waste into three classes: dangerous (toxic, flammable, harmful to the environment), recyclable and undetermined. To increase the decision weight since some waste is perilous (eg.
Mariana Rusu, Marius-Dan Zbancioc
doaj   +2 more sources

Evaluation of Quality Control Performance of Gem Premier 4000 Using Inbuilt Intelligent Quality Management on Sigma Scale [PDF]

Indian Journal of Medical Biochemistry, 2023
Introduction: Intelligent quality management (iQM) is an automated quality assurance system that monitors all testing processes and components and provides continuous error detection and correction. Here in this article, we have evaluated the performance
Jayesh Warade
doaj   +1 more source

Deep Learning in Archaeological Remote Sensing: Automated Qanat Detection in the Kurdistan Region of Iraq

Remote Sensing, 2020
In this paper, we report the results of our work on automated detection of qanat shafts on the Cold War-era CORONA Satellite Imagery. The increasing quantity of air and space-borne imagery available to archaeologists and the advances in computational ...
Mehrnoush Soroush, Alireza Mehrtash, Emad Khazraee, Jason A. Ur   +3 more
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Automated Plant Recognition System with Geographical Position Selection for Medicinal Plants

Advances in Multimedia, 2023
Basically, it is hard for endeavors to recognize plant leaf images by a layman due to the varieties in some plant leaves and the extensive information collected for investigation.
Biswaranjan Acharya, Ahona Ghosh, Sucheta Panda, Yu-Chen Hu   +3 more
doaj   +1 more source

Automated handwriting analysis based on pattern recognition: a survey

Indonesian Journal of Electrical Engineering and Computer Science, 2021
<span>Handwriting analysis has wide scopes include recruitment, medical diagnosis, forensic, psychology, and human-computer interaction. Computerized handwriting analysis makes it easy to recognize human personality and can help graphologists to understand and identify it.
Samsuryadi, Samsuryadi, Kurniawan, Rudi, Mohamad, Fatma Susilawati   +2 more
openaire   +3 more sources

Review of Printed Fabric Pattern Segmentation Analysis and Application

AUTEX Research Journal, 2020
Image processing of digital images is one of the essential categories of image transformation in the theory and practice of digital pattern analysis and computer vision.
Kumah Charles, Raji Rafiu King, Pan Ruru
doaj   +1 more source

Automated recognition of ruffed grouse drumming in field recordings

Wildlife Society Bulletin, 2023
Ruffed grouse (Bonasa umbellus) populations are declining throughout their range, which has prompted efforts to understand drivers of the decline. Ruffed grouse monitoring efforts often rely on acoustic drumming surveys, in which a surveyor listens for ...
Samuel Lapp, Jeffery L. Larkin, Halie A. Parker, Jeffery T. Larkin, Dakotah R. Shaffer, Carolyn Tett, Darin J. McNeil, Cameron J. Fiss, Justin Kitzes   +8 more
doaj   +1 more source

The Pandora multi-algorithm approach to automated pattern recognition of cosmic-ray muon and neutrino events in the MicroBooNE detector

European Physical Journal C: Particles and Fields, 2018
The development and operation of liquid-argon time-projection chambers for neutrino physics has created a need for new approaches to pattern recognition in order to fully exploit the imaging capabilities offered by this technology.
R. Acciarri, C. Adams, R. An, J. Anthony, J. Asaadi, M. Auger, L. Bagby, S. Balasubramanian, B. Baller, C. Barnes, G. Barr, M. Bass, F. Bay, M. Bishai, A. Blake, T. Bolton, L. Camilleri, D. Caratelli, B. Carls, R. Castillo Fernandez, F. Cavanna, H. Chen, E. Church, D. Cianci, E. Cohen, G. H. Collin, J. M. Conrad, M. Convery, J. I. Crespo-Anadón, M. Del Tutto, D. Devitt, S. Dytman, B. Eberly, A. Ereditato, L. Escudero Sanchez, J. Esquivel, A. A. Fadeeva, B. T. Fleming, W. Foreman, A. P. Furmanski, D. Garcia-Gamez, G. T. Garvey, V. Genty, D. Goeldi, S. Gollapinni, N. Graf, E. Gramellini, H. Greenlee, R. Grosso, R. Guenette, A. Hackenburg, P. Hamilton, O. Hen, J. Hewes, C. Hill, J. Ho, G. Horton-Smith, A. Hourlier, E.-C. Huang, C. James, J. Jan de Vries, C.-M. Jen, L. Jiang, R. A. Johnson, J. Joshi, H. Jostlein, D. Kaleko, G. Karagiorgi, W. Ketchum, B. Kirby, M. Kirby, T. Kobilarcik, I. Kreslo, A. Laube, Y. Li, A. Lister, B. R. Littlejohn, S. Lockwitz, D. Lorca, W. C. Louis, M. Luethi, B. Lundberg, X. Luo, A. Marchionni, C. Mariani, J. Marshall, D. A. Martinez Caicedo, V. Meddage, T. Miceli, G. B. Mills, J. Moon, M. Mooney, C. D. Moore, J. Mousseau, R. Murrells, D. Naples, P. Nienaber, J. Nowak, O. Palamara, V. Paolone, V. Papavassiliou, S. F. Pate, Z. Pavlovic, E. Piasetzky, D. Porzio, G. Pulliam, X. Qian, J. L. Raaf, A. Rafique, L. Rochester, C. Rudolf von Rohr, B. Russell, D. W. Schmitz, A. Schukraft, W. Seligman, M. H. Shaevitz, J. Sinclair, A. Smith, E. L. Snider, M. Soderberg, S. Söldner-Rembold, S. R. Soleti, P. Spentzouris, J. Spitz, J. St. John, T. Strauss, A. M. Szelc, N. Tagg, K. Terao, M. Thomson, M. Toups, Y.-T. Tsai, S. Tufanli, T. Usher, W. Van De Pontseele, R. G. Van de Water, B. Viren, M. Weber, D. A. Wickremasinghe, S. Wolbers, T. Wongjirad, K. Woodruff, T. Yang, L. Yates, G. P. Zeller, J. Zennamo, C. Zhang   +146 more
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