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Academic Articles & Research Papers
Showing 20 of 2,095 academic articles
Karl Gunnar AarsÓther, Torgeir Moan • TransNav
(2010)
The Automatic Identification System has proven itself as a valuable source for ship traffic information. Its introduction has reversed the previous situation with scarcity of precise data from ship traffic and has instead posed the reverse ...
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Otilia Zvorișteanu, Simona Caraiman, Vasile-Ion Manta • Mathematics
(2022)
Environment perception and understanding represent critical aspects in most computer vision systems and/or applications. State-of-the-art techniques to solve this vision task (e.g., semantic instance segmentation) require either dedicated h...
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Open Access (DOAJ)
DOI: 10.3390/math10142365
Zeynep Akata, Andreas Geiger, Torsten Sattler • International Journal of Computer Vision
(2021)
This special issue covers a wide range of topics from the area of Computer Vision, Pattern Recognition, and Machine Learning.This breadth of scope is reflected by the papers included in this special issue, which touch topics including geome...
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DOI: https://doi.org/10.1007/s11263-021-01522-3
R. Bradski Gary (1998)
As a first step towards a perceptual user interface, a computer vision color tracking algorithm is developed and applied towards tracking human faces. Computer vision algorithms that are intended to form part of a perceptual user interface ...
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Nianyi Wang, Weilan Wang, Wenjin Hu • IEEE Access
(2021)
Thangka murals are precious cultural heritage for Tibetan history, literature, and art. Digital line drawing of Thangka murals plays a vital role not only as an abstracted expression of Thangka for art appreciation but also as a fundamental...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3068199
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...
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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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Hao Huang, G.T.S. Ho, V. Tang, E.W.H. Chow et al. • Journal of Advanced Research
(2026)
Introduction: Crack damage is a significant issue in tunnel environments, requiring efficient and reliable detection to ensure structural integrity. Many existing solutions are computationally expensive, making them unsuitable for the tight...
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Open Access (DOAJ)
DOI: 10.1016/j.jare.2025.11.052
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 ...
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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...
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Open Access (DOAJ)
DOI: 10.3389/fpubh.2017.00219
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...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3298706
Liu Yuxin • ITM Web of Conferences
(2025)
With the advent of the Transformer, the attention mechanism has been applied to Large Language Model (LLM), evolving from initial single- modal large models to today's multi-modal large models. This has greatly propelled the development of ...
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Open Access (DOAJ)
DOI: 10.1051/itmconf/20257302025
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...
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Open Access (DOAJ)
DOI: 10.1111/2041-210X.14115
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...
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Open Access (DOAJ)
DOI: 10.3390/ai5040104
Richard Boadu Antwi, Michael Kimollo, Samuel Yaw Takyi, Eren Erman Ozguven et al. • Smart Cities
(2024)
Advancements in computer vision are rapidly revolutionizing the way traffic agencies gather roadway geometry data, leading to significant savings in both time and money. Utilizing aerial and satellite imagery for data collection proves to b...
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Open Access (DOAJ)
DOI: 10.3390/smartcities7030059
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
Ahmed Banafa • River Publishers eBooks
(2024)
Computer vision is a field of study that enables computers to interpret and understand visual data from the world around us. This field has seen significant advancements in recent years, thanks to the increasing availability of large datase...
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DOI: https://doi.org/10.1201/9781032669182-5
Tryan Aditya Putra, Syahidah Izza Rufaida, Jenq-Shiou Leu • IEEE Access
(2020)
In recent years, deep learning has taken the spotlight in automated medical bioimaging. However, the performance of current state-of-the-art score stems primarily from well-tuned parameters and architecture. There is still only limited rese...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.2976045
Olutosin Ajibola Ademola, Eduard Petlenkov, Mairo Leier • IEEE Access
(2023)
Scene texts serve as valuable information for humans and autonomous systems to make informed decisions. Processing scene texts poses significant difficulties for computer systems due to several factors, primarily due to variations in image ...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3283931
Bazzanini L., Angora G., Bergamini P., Meneghetti M. et al. • Astronomy & Astrophysics
(2026)
Strong gravitational lensing (SL) by galaxy clusters is a powerful probe of their inner mass distribution and a key test bed for cosmological models. However, the detection of SL events in wide-field surveys such as Euclid requires robust a...
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Open Access (DOAJ)
DOI: 10.1051/0004-6361/202557590