Search Results - "Kratochvila, Lukas"

Visual Diagnosis of the Varroa Destructor Parasitic Mite in Honeybees Using Object Detector Techniques by Bilik, Simon, Kratochvila, Lukas, Ligocki, Adam, Bostik, Ondrej, Zemcik, Tomas, Hybl, Matous, Horak, Karel, Zalud, Ludek

“…The mite is one of the most dangerous Honey Bee ( ) parasites worldwide and the bee colonies have to be regularly monitored in order to control its spread. In…”
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Semi-supervised deep learning approach to break common CAPTCHAs by Bostik, Ondrej, Horak, Karel, Kratochvila, Lukas, Zemcik, Tomas, Bilik, Simon

“…Manual data annotation is a time consuming activity. A novel strategy for automatic training of the CAPTCHA breaking system with no manual dataset creation is…”
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Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey by Bilik, Simon, Zemcik, Tomas, Kratochvila, Lukas, Ricanek, Dominik, Richter, Miloslav, Zambanini, Sebastian, Horak, Karel

“…The wide use and availability of machine learning and computer vision techniques allows developing relatively complex monitoring systems in multiple domains…”
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Point cloud obstacle detection with the map filtration by Kratochvila, Lukas

“…Proceedings I of the 29 th Conference STUDENT EEICT 2023 455-459; ISBN 978-80-214-6153-6 Obstacle detection is one of the basic tasks of a robot movement in an…”
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Multi-Unit Floor Plan Recognition and Reconstruction Using Improved Semantic Segmentation of Raster-Wise Floor Plans by Kratochvila, Lukas, de Jong, Gijs, Arkesteijn, Monique, Bilik, Simon, Zemcik, Tomas, Horak, Karel, Rellermeyer, Jan S

“…Digital twins have a major potential to form a significant part of urban management in emergency planning, as they allow more efficient designing of the escape…”
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Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A survey by Bilik, Simon, Zemcik, Tomas, Kratochvila, Lukas, Ricanek, Dominik, Richter, Milos, Zambanini, Sebastian, Horak, Karel

“…Wide use and availability of the machine learning and computer vision techniques allows development of relatively complex monitoring systems in many domains…”
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Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques by Bilik, Simon, Kratochvila, Lukas, Ligocki, Adam, Bostik, Ondrej, Zemcik, Tomas, Hybl, Matous, Horak, Karel, Zalud, Ludek

“…Sensors, 21-8 (2021), 2764-2780 The Varroa destructor mite is one of the most dangerous Honey Bee (Apis mellifera) parasites worldwide and the bee colonies…”
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