Items where Division is "Cellular Sensory and Optical Wave Computing Laboratory" and Year is 2021
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Number of items: 9.
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Date | Author/Title | Document Type | |
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2021 | El, Khadiri I and El, Merabet Y and Tarawneh, Ahmad S. and Ruichek, Y and Csetverikov, Dmitrij Petersen Graph Multi-Orientation based Multi-Scale Ternary Pattern (PGMO-MSTP): An Efficient Descriptor for Texture and Material Recognition | Article |
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Date | Author/Title | Document Type | |
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2021 | Földesy, Péter and Siket, Máté and Jánoki, Imre Gergely and Demeter, K and Nagy, Ádám Ensemble averaging laser speckle contrast imaging: statistical model of improvement as function of static scatterers | Article | |
2021 | Földesy, Péter and Zarándy, Ákos and Szabó, Miklós Reference free incremental deep learning model applied for camera-based respiration monitoring | Article |
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Date | Author/Title | Document Type | |
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2021 | Hiba, Antal and Gáti, Attila and Manecy, A Optical Navigation Sensor for Runway Relative Positioning of Aircraft during Final Approach | Article |
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Date | Author/Title | Document Type | |
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2021 | Nagy, Mihály and Bauer, Péter and Hiba, Antal and Gáti, Attila and Drotár, István and Lattes, Balázs and Kisari, Ádám The Forerunner UAV Concept for the Increased Safety of First Responders | Book Section | |
2021 | Nagy, Ádám and Földesy, Péter and Jánoki, Imre Gergely and Terbe, Dániel and Siket, Máté and Szabó, Miklós and Zarándy, Ákos Continuous Camera-Based Premature-Infant Monitoring Algorithms for NICU | Article |
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Date | Author/Title | Document Type | |
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2021 | Sala-Mira, I and Siket, Máté and Kovács, Levente and Eigner, György and Bondia, J Effect of Model, Observer and Their Interaction on State and Disturbance Estimation in Artificial Pancreas: An In-Silico Study | Article | |
2021 | Siket, Máté and Jánoki, Imre Gergely and Demeter, Kornél and Szabó, Miklós and Földesy, Péter Time varied illumination laser speckle contrast imaging | Article |
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Date | Author/Title | Document Type | |
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2021 | Terbe, Dániel and Orzó, László and Zarándy, Ákos Deep-learning-based bright-field image generation from a single hologram using an unpaired dataset | Article |