Home »
Academic Articles & Research Papers
Showing 20 of 817 academic articles
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...
DOAJ
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/mfreview/2025004
Hongjian Wang • Journal of Electrical and Computer Engineering
(2023)
With the development of the economy and real-time embedded systems and the progress of science and technology, people’s economic income forms have undergone tremendous changes, and the concept of financial management has become clearer in p...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2023/5501265
Manar Ashkanani, Alanoud AlAjmi, Aeshah Alhayyan, Zahraa Esmael et al. • Inventions
(2025)
Traffic management systems play a crucial role in smart cities, especially because increasing urban populations lead to higher traffic volumes on roads. This results in increased congestion at intersections, causing delays and traffic viola...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/inventions10010014
Jhansi Rani Challapalli, Nagaraju Devarakonda • Machine Learning: Science and Technology
(2023)
Multi-person pose estimation (MPE) remains a significant and intricate issue in computer vision. This is considered the human skeleton joint identification issue and resolved by the joint heat map regression network lately. Learning robust ...
DOAJ
Open Access (DOAJ)
DOI: 10.1088/2632-2153/acc9fc
Daniela Arbeláez-Lelion, Francisco Ocaziones, Mateo José Murcia-Ramos, Samuel Salgado et al. • Cirugía Cardiovascular
(2026)
Artificial intelligence (AI) and computer vision (CV) are increasingly applied in vascular surgery for preoperative mapping and intraoperative flow/perfusion assessment, with potential to enhance safety and efficiency. However, the extent o...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.circv.2025.10.002
Junhua Sun, Huabin He, Debing Zeng • Sensors
(2016)
Global calibration methods for multi-camera system are critical to the accuracy of vision measurement. Proposed in this paper is such a method based on several groups of sphere targets and a precision auxiliary camera. Each camera to be cal...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s16010077
Zahraa Tarek, Esraa Hasan • Journal of the Saudi Society of Agricultural Sciences
(2026)
Abstract Self-supervised learning (SSL) has emerged as a pivotal paradigm in computer vision, particularly for applications where labeled data are limited, costly, or labor-intensive to obtain. This paradigm is especially relevant to sustai...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44447-026-00151-x
Guochang Ye, Mehmet Kaya • Bioengineering
(2022)
Cell segmentation is a critical step for image-based experimental analysis. Existing cell segmentation methods are neither entirely automated nor perform well under basic laboratory microscopy. This study proposes an efficient and automated...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bioengineering9020081
Tianxiong Zhang, Zhiqiang Zhang, Xinping Zhu • Sensors
(2023)
The rapid advancement in Unpiloted Robotic Vehicle technology has significantly influenced ground support operations at airports, marking a critical shift towards future development. This study presents a novel Unpiloted Ground Support Equi...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24010205
Sudhakaran Pradeep, Koushik V.S.K., Charan N., M. Preetha • E3S Web of Conferences
(2024)
The aim of computer vision techniquesand deep learning in the era of digitalization is to derive valuable insights from them and generate novel understanding. This makes it possible to employ imaging to quickly diagnose and treat a variety ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202449103003
C. Chen, J. Li, J. Li, Z. Shuai et al. • Mechanical Sciences
(2025)
Pedestrian detection is one of the most widely applied tasks in industrial computer vision. It encapsulates three core challenges of object detection: detecting small objects, handling heavy occlusion, and balancing speed and accuracy for d...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/ms-16-877-2025
Hairui Zhu, Shanhong Guo, Weixing Sheng, Lei Xiao • Remote Sensing
(2023)
Ship classification technology using synthetic aperture radar (SAR) has become a research hotspot. Many deep-learning-based methods have been proposed with handcrafted models or using transplanted computer vision networks. However, most of ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15112904
Yogesh Patel, Sudeep Tanwar, Pronaya Bhattacharya, Rajesh Gupta et al. • IEEE Access
(2023)
Recent advancements in computer vision processing need potent tools to create realistic deepfakes. A generative adversarial network (GAN) can fake the captured media streams, such as images, audio, and video, and make them visually fit othe...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3251417
Sharmarke A. Gabayre, Sergey Savel’ev, Varuna De Silva, Mindula Illeperuma et al. • Scientific Reports
(2026)
Abstract We present a Wilson–Cowan reservoir computer (WC–RC) that treats a retinotopic excitatory–inhibitory neural field as a structured reservoir. Travelling waves and bounded oscillations provide an interpretable spatiotemporal basis, w...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-026-49359-5
Lubna Riaz, Hafiz Muhammad Qadir, Ghulam Ali, Mubashir Ali et al. • IEEE Access
(2023)
Skin, the body’s biggest organ and a barrier against heat, light, damage, and infection can be affected by many diseases. However, a correct diagnosis can lead to proper treatment. Skin diseases must be identified early to reduce ski...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297644
Txomin Hermosilla • ELCVIA Electronic Letters on Computer Vision and Image Analysis
(2014)
Urban areas areimportant environments, accounting for approximately half the population of theworld. Cities attract residents partly because they offer ample opportunitiesfor development, which often results in urban sprawl and its complex ...
DOAJ
Open Access (DOAJ)
DOI: 10.5565/rev/elcvia.584
Masoud Faraki, Maziar Palhang, Conrad Sanderson • IET Computer Vision
(2015)
Representing videos by densely extracted local space–time features has recently become a popular approach for analysing actions. In this study, the authors tackle the problem of categorising human actions by devising bag of words (BoWs) mod...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2014.0018
Bei Liu • Modelling and Simulation in Engineering
(2026)
Traditional image detection and recognition models face issues such as high miss detection rates, low classification accuracy, and poor real-time performance when dealing with complex printing images, including defects and flaws. To address...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/mse/7182616
Eda Nur Urtekin, Emre Dandıl • Journal of Agricultural Sciences
(2026)
Sustainable food production increasingly relies on intelligent automation technologies that optimize resource usage while maintaining crop health. This study presents a deep learning-driven computer vision and web based monitoring system de...
DOAJ
Open Access (DOAJ)
DOI: 10.15832/ankutbd.1817471