Results 11 to 20 of about 15,239 (265)
DETECTION AND RECOGNITION OF ROAD SIGNS USING YOLOv5 [PDF]
Proceedings on Engineering Sciences, 2023 In the field of deep learning, a convolutional neural network is a class of artificial neural networks that became dominant in various computer vision tasks, which is widely used to solve complex problems in various areas, including driver assistance ...
Haitam Ettazi +2 more
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Ada, Ada, Ada, and Ada: Transforming Learner Identities through Social Practice
Anthropology & Education Quarterly, 2022 I draw on ethnographic data from a German school to explore discursive practices of educators that rationalize the illiteracy of 10‐year‐old, multilingual Ada. I juxtapose various moments of school life that “thickened” Ada's learner identities and find that special needs labeling often rested on pragmatic considerations of resource management and that
openaire +2 more sources
Scientific Reports, 2023 Artificial intelligence or machine-learning-based models have proven useful for better understanding various diseases in all areas of health science. Myalgic Encephalomyelitis or chronic fatigue syndrome (ME/CFS) lacks objective diagnostic tests.
Marcos Lacasa +3 more
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Animal, 2008 The aim of this work was to test the robustness of the 0.68 estimate of the efficiency of conversion of metabolisable protein into true milk protein (Agriculture and Food Research Council (AFRC), 1993) for protein-limiting diets and to determine whether ...
J.A. Metcalf +4 more
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Testing the Readiness of Slovak Road Infrastructure for the Deployment of Intelligent Transportation
Journal of Mechanical Engineering, 2022 In the recent years, we observe huge effort to develop new technologies for modern road vehicles in order to improve the level of safety for all passengers in the vehicle.
Lehoczký Peter +3 more
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Temporal Analysis Based Driver Drowsiness Detection System Using Deep Learning Approaches
Sakarya Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 2022 With the development of technology, artificial intelligence comes into our lives more and also comes up as a solution to many problems. Recently, deep learning approaches have been bringing fast and highly accurate solutions to problems.
Furkan Kumral, Ayhan Küçükmanisa
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Vehicle–pedestrian interactions into and outside of crosswalks: effects of driver assistance systems
Transport, 2021 This study aimed to analyse the driver’s behaviour during the interaction with a pedestrian crossing into and outside the zebra crossing, and evaluate the effectiveness of two kinds of Advanced Driver Assistance System (ADAS) that provided to the driver ...
Francesco Bella, Manuel Silvestri
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Известия высших учебных заведений России: Радиоэлектроника, 2020 Introduction. A hardware basis of modern Advanced Driver Assistance Systems (ADAS) consists of millimeterrange radars, characterized by a relatively short range (meters – tens of meters). At the same time, improving of traffic safety requires to increase
N. V. Sokolik
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The detection of great crested newts year round via environmental DNA analysis
BMC Research Notes, 2017 Objective Analysis of environmental DNA (eDNA) is a method that has been used for the detection of various species within water bodies. The great crested newt (Triturus cristatus) has a short eDNA survey season (mid-April to June).
Helen C. Rees +4 more
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Design and research of anti-collision system for car reverse based on ADAS
Dianzi Jishu Yingyong, 2021 This paper deeply analyzes the shortcomings of the current reversing image system in the actual use scene, introduces the limitations of radar in radiation surface, angle blind area and object type recognition, and the millimeter wave radar is difficult ...
Sun Desheng
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