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Academic Articles & Research Papers
Showing 20 of 1,679 academic articles
Bo Zhang • IEEE International Conference on Cognitive Informatics
(2010)
In object recognition (classification), it was known that the human brain processes visual information in semantic space mainly, that is, extracting the semantically meaningful features such as line-segments, boundaries, shape and so on. Bu...
OPENALEX
DOI: https://doi.org/10.1109/coginf.2010.5599750
Iyad Almadani, Brandon Ramos, Mohammed Abuhussein, Aaron L. Robinson • Digital
(2024)
Traditional methods for predicting sow reproductive cycles are not only costly but also demand a larger workforce, exposing workers to respiratory toxins, repetitive stress injuries, and chronic pain. This occupational hazard can even lead ...
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Open Access (DOAJ)
DOI: 10.3390/digital4020022
Sheemona Joseph C., S. Ganesh, S. Kannadhasan, K. Selvipriya • Journal of Informatics and Web Engineering
(2025)
Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffic signs—a crucial ta...
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Open Access (DOAJ)
DOI: 10.33093/jiwe.2025.4.2.14
Simon Stoerzer, Klinto Xhemo, Felix Gronau, Linda Feldbruegge et al. • Patient Safety in Surgery
(2026)
Abstract Background Retained surgical items are classified as never events but continue to occur, and the count meant to prevent them is often recorded as correct even when an item is retained. Computer vision could provide an independent c...
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Open Access (DOAJ)
DOI: 10.1186/s13037-026-00512-z
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...
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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...
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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...
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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...
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Open Access (DOAJ)
DOI: 10.3390/info13070337
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...
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Open Access
DOI: https://doi.org/10.1260/2047-4970.1.0.1
Snehal D. Patil, Prashant P. Bartakke • IEEE Access
(2025)
With the expeditious advancement in multicarrier automotive in-vehicle monitoring for a bus conforming environment with computer vision, there is an exigency for a setup subsisting on inspection cameras and an onboard embedded computing dev...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3637900
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...
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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...
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Open Access (DOAJ)
DOI: 10.31026/j.eng.2026.08.02
Francesco Nex, Davide Marenchino, Andrea Lingua • Sensors
(2009)
In the photogrammetry field, interest in region detectors, which are widely used in Computer Vision, is quickly increasing due to the availability of new techniques. Images acquired by Mobile Mapping Technology, Oblique Photogrammetric Came...
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Open Access (DOAJ)
DOI: 10.3390/s90503745
Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access
(2020)
Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036545
Wei Xue, Xiaoyan Xia, Pengcheng Wan, Ping Zhong et al. • Tsinghua Science and Technology
(2025)
Deep neural networks are commonly used in computer vision tasks, but they are vulnerable to adversarial samples, resulting in poor recognition accuracy. Although traditional algorithms that craft adversarial samples have been effective in a...
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Open Access (DOAJ)
DOI: 10.26599/TST.2024.9010029
Huiyan Han, Hongwei Zeng, Liqun Kuang, Xie Han et al. • Scientific Reports
(2024)
Abstract Human activity recognition has a wide range of applications in various fields, such as video surveillance, virtual reality and human–computer intelligent interaction. It has emerged as a significant research area in computer vision...
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Open Access (DOAJ)
DOI: 10.1038/s41598-024-65850-3
Ola Basheer, Zohair Al-Ameen • Sistemasi: Jurnal Sistem Informasi
(2024)
With the increasing spread of nighttime images and their importance in human lives, and the development of computer vision, producing images with the highest possible quality is paramount. Nighttime images have been improved over the past d...
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Open Access (DOAJ)
DOI: 10.32520/stmsi.v13i3.3938
Guobao Xiao, Kun Zeng, Leyi Wei, Tao Wang et al. • IEEE Access
(2019)
We present a novel algorithm (DAM) for deterministic motion trajectory segmentation by using epipolar geometry and adaptive kernel-scale voting. DAM is based on geometric models and exploits the information derived from superpixels to deter...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2911723
Nazeer Bilal, Pradeep Carol Santhosh, Vargas Patricia A., Erden Mustafa Suphi et al. • Manufacturing Review
(2025)
This study presents a comprehensive study of a novel Contact-Based Pose Estimation Method (CBPEM) for enhancing precision in robotic assembly processes within digital twin frameworks. Conventional pose detection methods, such as laser and c...
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Open Access (DOAJ)
DOI: 10.1051/mfreview/2025004
Manabu Okawa • IEEE Access
(2025)
Offline writer identification is an essential component of biometric and forensic security fields, focusing on identifying the authors of handwritten documents in physical form. Historically, this approach has focused on text-dependent iden...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3586994