Results 1 to 10 of about 428,991 (272)

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

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
doaj   +7 more sources

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

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

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 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

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
doaj   +1 more source

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

KurdFace Morph Dataset Creation Using OpenCV

Science Journal of University of Zakho, 2022
Automated facial recognition is rapidly being used to reliably identify the identities of individuals for a variety of applications, from automated border control to unlocking mobile phones.
Arezu Rezgar Hussein, Rasber Dhahir Rashid   +1 more
doaj   +1 more source

Automated identification of river hydromorphological features using UAV high resolution aerial imagery [PDF]

, 2015
European legislation is driving the development of methods for river ecosystem protection in light of concerns over water quality and ecology. Key to their success is the accurate and rapid characterisation of physical features (i.e., hydromorphology ...
Ballesteros Gonzalez, Rocio, Kriechbaumer, Thomas, Rivas Casado, Monica, Veal, Amanda Veal   +3 more
core   +2 more sources

Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning

Frontiers in Artificial Intelligence, 2022
Food samples are routinely screened for food-contaminating beetles (i.e., pantry beetles) due to their adverse impact on the economy, environment, public health and safety.
Halil Bisgin, Tanmay Bera, Leihong Wu, Hongjian Ding, Neslihan Bisgin, Zhichao Liu, Monica Pava-Ripoll, Amy Barnes, James F. Campbell, Himansi Vyas, Cesare Furlanello, Weida Tong, Joshua Xu   +12 more
doaj   +1 more source