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Academic Articles & Research Papers
Showing 20 of 1,629 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
Amol Bhosle, Deepali Godse, Sandip Thite, Kailas Patil et al. • Data in Brief
(2025)
This data paper provides image dataset that includes 8432 high-quality images of Tamarindus indica [1] (tamarind), categorized into six types: Shelled Healthy Single, Shelled Healthy Multiple, Unshelled Healthy Single, Unshelled Healthy Mul...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.dib.2025.111917
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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Billie F. Spencer, Vedhus Hoskere, Yasutaka Narazaki • Engineering
(2019)
Computer vision techniques, in conjunction with acquisition through remote cameras and unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure condition assessment. The ultimate goal of such a system i...
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DOI: https://doi.org/10.1016/j.eng.2018.11.030
Theo Gevers, Arjan Gijsenij, Joost van de Weijer, Jan‐Mark Geusebroek • Wiley eBooks
(2012)
While the field of computer vision drives many of today’s digital technologies and communication networks, the topic of color has emerged only recently in most computer vision applications. One of the most extensive works to date on color i...
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DOI: https://doi.org/10.1002/9781118350089
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
E. Nocerino, F. Lago, D. Morabito, F. Remondino et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2017)
During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional
content is starting to become commonplace now in many applications. Although for many years 3D technologies have b...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLII-2-W3-535-2017
Kefeng Lv, Yongsheng Zhang, Ying Yu, Zhenchao Zhang et al. • Remote Sensing
(2022)
Visual localization is a core part of many computer vision and geospatial perception applications; however, the ever-changing time phase and environment present challenges. Moreover, the ever-enriching spatial data types and sensors create ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs14163983
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
Vinodkumar Patil, Manisha Patil, Smital Patil, Satish Desale • Advances in Engineering and Intelligence Systems
(2026)
Accurate detection of brain tumors at early stages is crucial for clinical diagnosis and treatment planning. Magnetic Resonance Imaging (MRI) is the most popular method due to its soft-tissue contrast and spatial resolution. However, manual...
DOAJ
Open Access (DOAJ)
DOI: 10.22034/aeis.2026.570662.1424
Zhengwei Wang, Qi She, Tomas Emmanuel Ward • ACM Computing Surveys
(2021)
Generative adversarial networks (GANs) have been extensively studied in the past few years. Arguably their most significant impact has been in the area of computer vision where great advances have been made in challenges such as plausible i...
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Open Access
DOI: https://doi.org/10.1145/3439723
R. D. Boyle, Robin Thomas • Cumulative Index of Computer Aided Architectural Design
(1988)
Computer vision is a new discipline recently developed from image processing, which is able to take raw images, and, after suitable processing, derive information from them automatically. Computer vision applications are legion in the areas...
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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
Yejin Jung, Sunwoo Cho, Haeyoon Yang, Nam Ik Cho • IEEE Access
(2025)
Semantic segmentation assigns class labels at the pixel level, forming a key part of various computer vision applications, including autonomous driving, medical imaging, and robotics. However, segmentation accuracy often drops significantly...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3641590
Lakshmi Sree Pugalenthi, Chris Garapati, Srivarshini Maddukuri, Fnu Kanwal et al. • Journal of Vascular Diseases
(2025)
Background: Varicose veins (VVs) of the lower limbs, characterized by palpable, dilated, and tortuous veins, affect 2–73% of the global population. Artificial intelligence (AI) offers significant potential to enhance healthcare efficiency a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jvd4020019
Radu Constantin Parpală, Mario Andrei Ivan, Lidia Florentina Parpală, Costel Emil Coteț et al. • Applied Sciences
(2024)
The increase in positioning accuracy and repeatability allowed the integration of robots in assembly operations using guidance systems (structured applications) or video acquisition systems (unstructured applications). This paper proposes a...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14198687
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
Václav Diviš, Bastian Spatz, Marek Hrúz • AI
(2024)
Recent research has drawn attention to the ambiguity surrounding the definition and learnability of Out-of-Distribution recognition. Although the original problem remains unsolved, the term “Out-of-Model Scope” detection offers a clearer pe...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ai5040104
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
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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DOI: https://doi.org/10.1016/j.procs.2020.03.355