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Academic Articles & Research Papers
Showing 20 of 4,247 academic articles
Yonatan T. Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati • IET Computer Vision
(2016)
Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limite...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2015.0297
Bin Li, Hong Fu • Applied Computational Intelligence and Soft Computing
(2018)
An accurate and efficient eye detector is essential for many computer vision applications. In this paper, we present an efficient method to evaluate the eye location from facial images. First, a group of candidate regions with regional extr...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2018/1439312
Jin Wang, Zhenghua Yang, Dongming Zhou, Dongming Zhou et al. • Frontiers in Bioinformatics
(2026)
Medical image segmentation is a fundamental task in computer vision and plays an important role in clinical diagnosis and treatment planning. Existing methods are mainly built on either convolutional neural networks (CNNs) or Transformer-ba...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fbinf.2026.1849059
Saleha K. Al-Atawi • African Vision and Eye Health
(2023)
Background: Digital eye strain (DES) affects an estimated 60 million people worldwide, with a higher prevalence among populations that are occupationally reliant on digital display devices.
Aim: This study investigated risk factors of DES ...
DOAJ
Open Access (DOAJ)
DOI: 10.4102/aveh.v82i1.815
Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodriguez, Simon Bøgh • Automation
(2025)
Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts. Traditional tech...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/automation6020023
SHA Yuyang, LU Jingtao, DU Haofan, ZHAI Xiaobing, MENG Weiyu, LIAN Xu, LUO Gang, LI Kefeng • Jisuanji gongcheng
(2025)
Image segmentation is a crucial technology for environmental perception, and it is widely used in various scenarios such as autonomous driving and virtual reality. With the rapid development of technology, computer vision-based blind guidin...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0068674
Caglar Koylu, Chang Zhao, Wei Shao • ISPRS International Journal of Geo-Information
(2019)
Thanks to recent advances in high-performance computing and deep learning, computer vision algorithms coupled with spatial analysis methods provide a unique opportunity for extracting human activity patterns from geo-tagged social media ima...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ijgi8010045
Liaqat Ali, Ce Zhu, Noorbakhsh Amiri Golilarz, Ashir Javeed et al. • IEEE Access
(2019)
Parkinson's disease (PD) is the second most common neurodegenerative disease of central nervous system (CNS). Till now, there is no definitive clinical examination that can diagnose a PD patient. However, it has been reported that PD patien...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2932037
Neofytos Dimitriou, Ognjen Arandjelović • Information
(2022)
Normalization as a layer within neural networks has over the years demonstrated its effectiveness in neural network optimization across a wide range of different tasks, with one of the most successful approaches being that of batch normaliz...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info13070337
Dang Minh Tan, Le-Minh Kieu • IATSS Research
(2023)
This paper introduces a new visual dataset and framework to facilitate computer-vision-based traffic monitoring in high density, mixed and lane-free traffic (TRAMON). While there are advanced deep learning algorithms that can detect and tra...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iatssr.2023.10.001
Mauro Lo Brutto, Paola Meli • International Journal of Heritage in the Digital Era
(2012)
In archaeological Cultural Heritage study 3D modelling has become a very useful process to obtain indispensable data for documentation and visualization. Nowadays the continuous request to achieve photorealistic 3D models has led to testing...
OPENALEX
Open Access
DOI: https://doi.org/10.1260/2047-4970.1.0.1
V. G. Dhanya, Anakkallan Subeesh, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma et al. • Artificial Intelligence in Agriculture
(2022)
The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core of artificial intelligence, deep learn...
OPENALEX
cc-by-nc-nd
DOI: https://doi.org/10.1016/j.aiia.2022.09.007
Yaguang Guo, Qi Zou, Lu Jin • IET Computer Vision
(2021)
Abstract Because of the popularisation of high‐resolution images, detecting objects in these images quickly and accurately has attracted increasing attention in recent studies. Current convolutional neural networks (CNN)‐based detection met...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cvi2.12042
Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang et al. • IET Image Processing
(2023)
Abstract The current instance segmentation method can achieve satisfactory results in common scenarios. However, under the overlap or partial occlusion between targets caused by the complex scenes, accurate segmentation of pigs remains a ch...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12880
Mingzhu Qian, Xiaobao Wang • Journal of Advanced Transportation
(2022)
Due to the increase in the number of urban vehicles and the irregular driving behavior of drivers, urban accidents frequently occur, causing serious casualties and economic losses. Active vehicle safety systems can monitor vehicle status an...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2022/4749086
Arailym Serikbay, Venera Nurmanova, Yerbol Akhmetov, Amin Zollanvari et al. • International Transactions on Electrical Energy Systems
(2025)
Regular monitoring of outdoor insulators is crucial to ensure the reliable functioning of the power grid. With recent progress in computer vision technologies, traditional manual and expensive visual inspections can now be replaced by autom...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/etep/8669289
Saja Sadiq Bakhit, Saleem Lateef, Ali Al-Naji • Journal of Engineering
(2026)
Manual medication dispensing in pharmacies remains prone to human errors and is time-intensive, particularly under high patient loads, while existing commercial automation solutions are cost-prohibitive for small to medium-sized pharmacy se...
DOAJ
Open Access (DOAJ)
DOI: 10.31026/j.eng.2026.08.02
J. Middendorf, A. Kelm, S. Frintrop • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2025)
The paper proposes a novel framework for automatically detecting wind turbines in orthophotos, transferring this information to a database, and linking detected turbines to an existing registry to minimize location inaccuracy. This inaccura...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-M-7-2025-35-2025
Hirra Anwar, Saad Ullah Khan, Muhammad Mohsin Ghaffar, Muhammad Fayyaz et al. • Sensors
(2023)
Wheat stripe rust disease (WRD) is extremely detrimental to wheat crop health, and it severely affects the crop yield, increasing the risk of food insecurity. Manual inspection by trained personnel is carried out to inspect the disease spre...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s23156942
D. Zhong, D. Zhong, L. He, L. He et al. • ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2023)
Rapid access to the basic structure of village buildings is conducive to the investigation of the load-bearing bodies of village houses and provides data support for disaster assessment and post-disaster rescue and reconstruction. The devel...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-annals-X-1-W1-2023-295-2023