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Academic Articles & Research Papers
Showing 20 of 1,215 academic articles
Khazaal Abbas Maaroof Maysoon, Bouhlel Med Salim • BIO Web of Conferences
(2024)
The methods of deep learning have lately demonstrated outstanding outcomes of robotic objects such as imagination, localization and striping. Its exceptional abilities in order to learn idealizations from complicated data gathered in the re...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/bioconf/20249700008
Anna S. Kolosova, Anna S. Kameneva, Georgii G. Chukov, Alexander Y. Nikiforov • Безопасность информационных технологий
(2023)
The major algorithms and methods of machine learning are considered. A possibility of machine learning and neural network using for electronic equipment quality prediction is assessed. The paper provides examples of the successful applicati...
DOAJ
Open Access (DOAJ)
DOI: 10.26583/bit.2023.1.09
Adrian Kaehler, Gary R. Bradski (2016)
Learning OpenCV puts you in the middle of the rapidly expanding field of computer vision. Written by the creators of the free open source OpenCV library, this book introduces you to computer vision and demonstrates how you can quickly build...
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Yanxi Liu, Hagit Zabrodsky Hel-Or, Craig S. Kaplan, Luc Van Gool • Foundations and Trends® in Computer Graphics and Vision
(2010)
In the arts and sciences, as well as in our daily lives, symmetry has made a profound and lasting impact. Likewise, a computational treatment of symmetry and group theory (the ultimate mathematical formalization of symmetry) has the potenti...
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DOI: https://doi.org/10.1561/0600000008
ZHU Wenhao, ZHU Haiyan, LIU Zhigang, SHEN Yuxin et al. • Chengshi guidao jiaotong yanjiu
(2025)
[Objective] Evacuation bottlenecks for subway stations in flood scenarios are investigated to enhance subway station personnel evacuation efficiency under water inundation and backflow conditions, and provide insights for developing subway ...
DOAJ
Open Access (DOAJ)
DOI: 10.16037/j.1007-869x.20231053
Joseph Joel Pollak, Arnon Houri-Yafin, Seth J. Salpeter • Frontiers in Public Health
(2017)
Accurate malaria diagnosis is critical to prevent malaria fatalities, curb overuse of antimalarial drugs, and promote appropriate management of other causes of fever. While several diagnostic tests exist, the need for a rapid and highly acc...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fpubh.2017.00219
Bayram B., Leventi N., Vodenicharova A., Lamprianidou A. et al. • Acta Medica Bulgarica
(2026)
Artificial intelligence (AI) is reshaping healthcare by enhancing diagnostic precision, treatment personalization, and overall patient care. By leveraging technologies such as machine learning, deep learning, natural language processing, an...
DOAJ
Open Access (DOAJ)
DOI: 10.2478/amb-2026-0050
Richard I. Hartley, Andrew Zisserman • Cambridge University Press eBooks
(2004)
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geome...
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DOI: https://doi.org/10.1017/cbo9780511811685
Roberto Brunelli • Wiley eBooks
(2009)
The detection and recognition of objects in images is a key research topic in the computer vision community. Within this area, face recognition and interpretation has attracted increasing attention owing to the possibility of unveiling huma...
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DOI: https://doi.org/10.1002/9780470744055
Alexey A. Klokov, Di Un Pak, Aleksandr Khorin, Dmitry A. Yudin et al. • IEEE Access
(2023)
LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, cars, etc.) based on LiDAR point clouds has limitations. On the o...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3298706
Nikita Andriyanov • Mathematics
(2022)
On the one hand, the solution of computer vision tasks is associated with the development of various kinds of images or random fields mathematical models, i.e., algorithms, that are called traditional image processing. On the other hand, no...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/math10214021
Violette Chiara, Sin‐Yeon Kim • Methods in Ecology and Evolution
(2023)
Abstract Computer programs for video tracking of animal movement are evolving increasingly efficient, using complex algorithms or artificial intelligence systems. Despite the consequent progress in this field, researchers still face some fu...
DOAJ
Open Access (DOAJ)
DOI: 10.1111/2041-210X.14115
Catarina de Nazaré Pereira Pinheiro, Roosevelt de Lima Sardinha, Pablo Machado Barros, André Bulcão et al. • Applied Sciences
(2024)
Neural networks have been used in various computer vision applications, including noise removal. However, removing seismic noise via deep learning approaches faces a specific issue: the scarcity of labeled data. To address this difficulty, ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14219721
Jinxin Chen, Luo Liu, Peng Li, Wen Yao et al. • Agriculture
(2025)
The resting postures of piglets are crucial indicators for assessing their health status and environmental comfort. This study proposes a resting posture recognition method for piglets during lactation based on the PPR-YOLO model, aiming to...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriculture15030230
William T. Freeman, David Anderson, Paul A. Beardsley, C.N. Dodge et al. • IEEE Computer Graphics and Applications
(1998)
Vision can be a powerful interface device for computers because of its potential for sensing body position, head orientation, direction of gaze, pointing commands, and gestures. Such unencumbered interaction can make computers easier to use...
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DOI: https://doi.org/10.1109/38.674971
Sebastian Nowozin, Christoph H. Lampert • Foundations and Trends® in Computer Graphics and Vision
(2011)
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. This mo...
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DOI: https://doi.org/10.1561/0600000033
Asharul Islam Khan, Salim Al-Habsi • Procedia Computer Science
(2020)
During last few years the computer applications have gone dramatic transformation from simple data processing to machine learning, thanks to the availability and accessibility of huge volume of data collected through sensors and internet. T...
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cc-by-nc-nd
DOI: https://doi.org/10.1016/j.procs.2020.03.355
Daniel A. Hashimoto, Guy Rosman, Elan R. Witkowski, Caitlin E. Stafford et al. • Annals of Surgery
(2019)
OBJECTIVE(S): To develop and assess AI algorithms to identify operative steps in laparoscopic sleeve gastrectomy (LSG). BACKGROUND: Computer vision, a form of artificial intelligence (AI), allows for quantitative analysis of video by comput...
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Open Access
DOI: https://doi.org/10.1097/sla.0000000000003460
PMC: 7216040
Yiannis Aloimonos, Azriel Rosenfeld • Science
(1991)
The field of computer vision is devoted to discovering algorithms, data representations, and computer architectures that embody the principles underlying visual capabilities. This article describes how the field of computer (and robot) visi...
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DOI: https://doi.org/10.1126/science.1891713
Kevin W. Bowyer, P. Jonathon Phillips (1998)
From the Publisher:
Empirical Evaluation Techniques in Computer Vision presents methods that allow comparative assessment of algorithms and the accompanying benefits: places computer vision on solid experimental and scientific grounds, ass...
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