Reset
Showing 20 of 2,239 academic articles

A survey of public datasets for computer vision tasks in precision agriculture

Yuzhen Lu, Sierra N. Young • Computers and Electronics in Agriculture (2020)

Computer vision technologies have attracted significant interest in precision agriculture in recent years. At the core of robotics and artificial intelligence, computer vision enables various tasks from planting to harvesting in the crop pr...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.compag.2020.105760

Artifact segmentation using the U-Net architecture for powder X-ray diffraction images

Albert Vong, Howard Yanxon, Eric Roberts, Hannah Parraga et al. • Journal of Synchrotron Radiation (2026)

Modern synchrotron X-ray facilities generate X-ray diffraction (XRD) image data at rates that far exceed the capacity of manual analysis, yet critical processing steps such as artifact removal rely on human intervention. Rule-based algorith...

DOAJ Open Access (DOAJ) DOI: 10.1107/S160057752600754X

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

Fruits and vegetables quality evaluation using computer vision: A review

Anuja Bhargava, Atul Bansal • Journal of King Saud University - Computer and Information Sciences (2018)

In agriculture science, automation increases the quality, economic growth and productivity of the country. The export market and quality evaluation are affected by assorting of fruits and vegetables. The crucial sensory characteristic of fr...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.jksuci.2018.06.002

التعليم الإلکترونى ودوره فى فن الجرافيک بکليات الفنون الجميلة لمواکبة تکنولوجيا العصر

أحمد أحمد • Journal of Distance Learning and Open Learning (2014)

Search provides a vision of the importance of e-learning and its objectives and its features and benefits , and their strategies as well as Arab and international experiences that have to go to be applied in different educational environmen...

DOAJ Open Access (DOAJ) DOI: 10.21608/jdlol.2014.54912

Video-Based Deep Learning Approach for 3D Human Movement Analysis in Institutional Hallways: A Smart Hallway

Connor J. C. McGuirk, Natalie Baddour, Edward D. Lemaire • Computation (2021)

New artificial intelligence- (AI) based marker-less motion capture models provide a basis for quantitative movement analysis within healthcare and eldercare institutions, increasing clinician access to quantitative movement data and improvi...

DOAJ Open Access (DOAJ) DOI: 10.3390/computation9120130

COVID-19 Control by Computer Vision Approaches: A Survey

Anwaar Ulhaq, Jannis Born, Asim Ali Khan, Douglas Pinto Sampaio Gomes et al. • IEEE Access (2020)

The COVID-19 pandemic has triggered an urgent call to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of artificial intelligence, has enjoyed recent success in solving various comple...

OPENALEX cc-by DOI: https://doi.org/10.1109/access.2020.3027685 PMC: 8545281

Introductory Techniques for 3-D Computer Vision

Emanuele Trucco, Alessandro Verri • CINECA IRIS Institutial Research Information System (University of Genoa) (1998)

From the Publisher: FEATURES: Provides a guide to well-tested theory and algorithms including solutions of problems encountered in modern computer vision. Contains many practical hints highlighted in the book. Develops two parallel ...

OPENALEX

The Validity and Reliability of the My Jump Lab App for the Measurement of Vertical Jump Performance Using Artificial Intelligence

Carlos Balsalobre-Fernández, Daniel Varela-Olalla • Sensors (2024)

The countermovement jump (CMJ) is a widely used test to assess lower body neuromuscular performance. This study aims to analyze the validity and reliability of an iOS application using artificial intelligence to measure CMJ height, force, v...

DOAJ Open Access (DOAJ) DOI: 10.3390/s24247897

Evaluation of Modified FGSM-Based Data Augmentation Method for Convolutional Neural Network-Based Image Classification

Paulo Monteiro de Carvalho Monson, Vinicius Augusto Dare de Almeida, Gabriel Augusto David, Pedro Oliveira Conceição Junior et al. • Engineering Proceedings (2024)

Computer vision applications demand a significant amount of data for effective training and inference in many computer vision tasks. However, data insufficiency situations usually happen due to multiple reasons, resulting in computational m...

DOAJ Open Access (DOAJ) DOI: 10.3390/ecsa-11-20476

Knowledge, attitude, and practice among kindergarten teachers regarding vision and eye screening of preschool children

Dora Hamad S. AlHarkan • Oman Journal of Ophthalmology (2024)

PURPOSE To estimate the level and determinants of knowledge, attitude, and practices (KAPs) of kindergarten teachers regarding vision and eye screening of preschool children of Qassim region of Saudi Arabia. METHODS As a part of a study to ...

DOAJ Open Access (DOAJ) DOI: 10.4103/ojo.ojo_260_23

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

Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead

Maurizio Capra, Beatrice Bussolino, Alberto Marchisio, Guido Masera et al. • IEEE Access (2020)

Currently, Machine Learning (ML) is becoming ubiquitous in everyday life. Deep Learning (DL) is already present in many applications ranging from computer vision for medicine to autonomous driving of modern cars as well as other sectors in ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2020.3039858