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Multi-Camera Machine Vision for Detecting and Analyzing Vehicle–Pedestrian Conflicts at Signalized Intersections: Deep Neural-Based Pose Estimation Algorithms

Ahmed Mohamed, Mohamed M. Ahmed • Applied Sciences (2025)

Over the past decade, researchers have advanced traffic monitoring using surveillance cameras, unmanned aerial vehicles (UAVs), loop detectors, LiDAR, microwave sensors, and sensor fusion. These technologies effectively detect and track veh...

DOAJ Open Access (DOAJ) DOI: 10.3390/app151910413

Artificial Intelligence in Routine IVF Practice

Grzegorz Mrugacz, Aleksandra Mospinek, Małgorzata Jagielska, Dariusz Miszczak et al. • Biology (2025)

Background: Artificial Intelligence (AI) has emerged as a transformative tool in in vitro fertilization (IVF) as it has done in other sectors. In IVF, AI offers advancements in embryo selection, treatment personalization, and outcome predic...

DOAJ Open Access (DOAJ) DOI: 10.3390/biology15010042

Autonomous Driving Roadway Feature Interpretation Using Integrated Semantic Analysis and Domain Adaptation

Suyang Xi, Zihan Liu, Ziming Wang, Qiang Zhang et al. • IEEE Access (2024)

Lane detection is fundamental to autonomous driving, yet remains challenging in complex environments with occlusions, ambiguous markings, and varied lighting. We introduce the Global Semantic Enhancement Network (GSENet), a groundbreaking f...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3429396

Automated Burr Quality Classification in Drilling of AA6013 Aluminum Alloy Using YOLOv10n

Mikail Kırğıl, Suleyman Gokhan Taskin, Ali Ercetin • Applied Sciences (2026)

Burr formation during drilling of aluminum alloys can compromise hole quality and assembly accuracy, increasing the need for secondary deburring operations. The time-consuming and operator-dependent nature of manual visual inspection create...

DOAJ Open Access (DOAJ) DOI: 10.3390/app162010012

Identification of camouflage military individuals with deep learning approaches DFAN and SINETV2

Ali Haider, Ghulam Muhammad, Talha Ahmed Khan, Kushsairy Kadir et al. • Scientific Reports (2025)

Abstract Camouflaged object detection particularly is considered as challenging and crucial because these objects are designed to either mimic their environment or be completely hidden within it. The goal of camouflage patterns utilization ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-025-18886-y

Automated estimation of cementitious sorptivity via computer vision

Hossein Kabir, Jordan Wu, Sunav Dahal, Tony Joo et al. • Nature Communications (2024)

Monitoring water uptake in cementitious systems is crucial to assess their durability against corrosion, salt attack, and freeze-thaw damage. However, gauging absorption currently relies on labor-intensive and infrequent weight measurements...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1038/s41467-024-53993-w PMC: 11568162

AN IMPROVED MASK R-CNN: EXTRACTION OF DOOR AND WINDOW INSTANCES ON VILLAGE BUILDING FAÇADE IMAGES

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

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

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 comprehensive analytical assessment of dino-based architectures for sustainable automated potato inspection in the Al Kharj Region

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

A Survey on Underwater Computer Vision

Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys (2023)

Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...

OPENALEX other-oa DOI: https://doi.org/10.1145/3578516

SnowMapPy: An automated GEE Python tool for snow cover mapping and monitoring in the Moroccan Atlas Mountains

Haytam Elyoussfi, Hatim Bechri, Mostafa Bousbaa, Salwa Belaqziz et al. • SoftwareX (2026)

SnowMapPy is an open-source Python-based package developed to streamline the collection, processing, and analysis of MODIS snow cover data from Terra and Aqua satellites. By automating essential steps, including data clipping, reprojection,...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.softx.2026.103006

Automatic building detection and land use classification in urban areas using multispectral high-spatial resolution imagery and LiDAR data

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

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

Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack

Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin • Big Data and Cognitive Computing (2025)

Neural-network-based models have made considerable progress in many computer vision areas over recent years. However, many works have exposed their vulnerability to malicious input data manipulation—that is, to adversarial attacks. Although...

DOAJ Open Access (DOAJ) DOI: 10.3390/bdcc9070166