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Academic Articles & Research Papers
Showing 20 of 278 academic articles
Annabestani M, Sriram S, Kuzemczak A, Wong SC et al. • npj biomedical innovations
(2026)
PMC
PMC Public Access (View-Only)
DOI: 10.1038/s44385-026-00122-5
PMC: PMC13728101
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3637900
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
Buhari Salisu • International Journal of AI and Advanced Computing
(2026)
The rapid advancement of Artificial Intelligence (AI), wearable computing, and Internet of Things (IoT) technologies has significantly transformed digital interactions across various sectors. However, the adoption of smart wearable technolo...
DOAJ
Open Access (DOAJ)
DOI: 10.5281/zenodo.21981139
Siham Essahraui, Ismail Lamaakal, Yassine Maleh, Khalid El Makkaoui et al. • IEEE Access
(2025)
Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict human behavior across diverse domains. This paper ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3589938
Ekta Sinha, Ashwani Kumar, Abhinav Tyagi • International Journal For Multidisciplinary Research
(2025)
OpenCV is a powerful, open-source toolkit designed for handling real-time computer vision challenges and advanced image processing tasks. It enables automated systems to interpret images and videos effectively. This paper explores the capab...
OPENALEX
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DOI: https://doi.org/10.36948/ijfmr.2025.v07i03.44280
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
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
Xin Feng, Youni Jiang, Xuejiao Yang, Ming Du et al. • Integration
(2019)
The field of computer vision is experiencing a great-leap-forward development today. This paper aims at providing a comprehensive survey of the recent progress on computer vision algorithms and their corresponding hardware implementations. ...
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DOI: https://doi.org/10.1016/j.vlsi.2019.07.005
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
Gustavo A. Acosta-Amaya, Deimer A. Miranda-Montoya, Jovani A. Jimenez-Builes • Sensors
(2024)
(1) Background: Human detection and tracking are critical tasks for assistive autonomous robots, particularly in ensuring safe and efficient human–robot interaction in indoor environments. The increasing need for personal assistance among t...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s24237796
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
Vincenzo Carletti, Antonio Greco, Alessia Saggese, Bruno Vento • IEEE Access
(2026)
Automatic fire detection in video surveillance is a critical capability for safeguarding industrial sites, public infrastructures, and natural environments. Although recent advances in deep learning have substantially improved early fire de...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3664195
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
V. Longhi, A. Martino, A. M. Lingua, P. F. Maschio et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2024)
Globalisation has contributed to rapid economic growth but has also exposed vulnerabilities such as the spread of pests in agriculture. An example is the Popillia Japonica Newman beetle, introduced to Italy in 2014, which has caused signifi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-1-2024-443-2024
Francisco Troncoso-Pastoriza, Javier López-Gómez, Lara Febrero-Garrido • Sensors
(2018)
This paper introduces a comprehensive approach based on computer vision for the automatic detection, identification and pose estimation of lamps in a building using the image and location data from low-cost sensors, allowing the incorporati...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/s18072364
Dong Trong Nguyen, Christian Lindahl Elseth, Jakob Rude Øvstaas, Nikolai Arntzen et al. • Frontiers in Robotics and AI
(2025)
As aquaculture expands to meet global food demand, it remains dependent on manual, costly, infrequent, and high-risk operations due to reliance on high-end Remotely Operated Vehicles (ROVs). Scalable and autonomous systems are needed to ena...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frobt.2025.1655242
Mohamed A. Abdelwahab, Shizuo Kaji, Maiya Hori, Shigeru Takano • Computational Urban Science
(2026)
Abstract Understanding how environmental conditions and policy interventions jointly shape pedestrian mobility is essential for designing resilient, adaptive, and human-centered urban spaces. This study presents a computer-vision framework ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s43762-026-00284-3
Marcelo T. Okano, William Aparecido Celestino Lopes, Sergio Miele Ruggero, Oduvaldo Vendrametto et al. • Algorithms
(2025)
This paper presents a lightweight and cost-effective computer vision solution for automated industrial inspection using You Only Look Once (YOLO) v8 models deployed on embedded systems. The YOLOv8 Nano model, trained for 200 epochs, achieve...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/a18080510