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VISION-LINK AI Smart Glass: An Edge-Cloud Wearable AI System for Workflow Automation and Digital Inclusion in Emerging Economies

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

Human Behavior Analysis: A Comprehensive Survey on Techniques, Applications, Challenges, and Future Directions

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

OpenCV for Computer Vision Applications

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 cc-by-sa DOI: https://doi.org/10.36948/ijfmr.2025.v07i03.44280

Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology

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

A Self-Adaptive Traffic Signal System Integrating Real-Time Vehicle Detection and License Plate Recognition for Enhanced Traffic Management

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

Computer vision applications in vascular surgery: From preoperative mapping to intraoperative flow assessment

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

A lightweight optimization framework for real-time pedestrian detection in dense and occluded scenes

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

A Deep Learning-Driven Computer Vision and Web-Based Monitoring System for Automated Nutrient Management in Soilless Agriculture

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

Monitoring the spread of a pathogenic insect on vineyards using UAS

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

Generalized Vision-Based Detection, Identification and Pose Estimation of Lamps for BIM Integration

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

Enabling scalable inspection of offshore mooring systems using cost-effective autonomous underwater drones

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

Monitoring pedestrian walking dynamics under environmental and policy influences in urban spaces

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

Edge AI for Industrial Visual Inspection: YOLOv8-Based Visual Conformity Detection Using Raspberry Pi

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