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Showing 20 of 4,934 academic articles
Direselign Addis Tadesse, Chuan-Ming Liu, Van-Dai Ta • Applied Sciences
(2020)
Reading text and unified text detection and recognition from natural images are the most challenging applications in computer vision and document analysis. Previously proposed end-to-end scene text reading methods do not consider the freque...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app10134474
Rittik Chandra Das Turjy, Fahmid Al Farid, Fahmid Al Farid, Md. Hasan Imam Bijoy et al. • Frontiers in Artificial Intelligence
(2026)
Complex environment variability and limited computational resources in agricultural settings create challenges in automated detection in tropical regions, where jackfruit diseases pose major threats to harvest productivity and food security...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2026.1884567
Muhammad Salihin Saealal, Mohd Zamri Ibrahim, David. J. Mulvaney, Mohd Ibrahim Shapiai et al. • PLoS ONE
(2022)
Deep learning is notably successful in data analysis, computer vision, and human control. Nevertheless, this approach has inevitably allowed the development of DeepFake video sequences and images that could be altered so that the changes ar...
DOAJ
Open Access (DOAJ)
Noor Fatima, Hasan Faraz Khan, Muzammil Behzad • IEEE Access
(2026)
The rapid proliferation of AI-generated and manipulated visual content requires forensic detectors that remain reliable after routine processing and deliberate counter-forensic modification. This paper presents an attack-aware deepfake dete...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2026.3734573
Feiyu Liu, Wei Ji • Agriculture
(2026)
This paper presents the design of a high-efficiency apple harvesting robot based on a hybrid pneumatic-electric drive system, capable of operating around the clock. The robotic system comprises a mobile platform with two degrees of freedom ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriculture16050619
Yinsheng Zhang, Xudong Yang, Yongbo Cheng, Xiaojun Wu et al. • Current Research in Food Science
(2024)
Background: Fruit freshness detection by computer vision is essential for many agricultural applications, e.g., automatic harvesting and supply chain monitoring. This paper proposes to use the multi-task learning (MTL) paradigm to build a d...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.crfs.2024.100733
Wesley E. Snyder, Hairong Qi • Cambridge University Press eBooks
(2017)
Computer vision has widespread and growing application including robotics, autonomous vehicles, medical imaging and diagnosis, surveillance, video analysis, and even tracking for sports analysis. This book equips the reader with crucial mat...
OPENALEX
DOI: https://doi.org/10.1017/9781316882641
Iyad Almadani, Brandon Ramos, Mohammed Abuhussein, Aaron L. Robinson • Digital
(2024)
Traditional methods for predicting sow reproductive cycles are not only costly but also demand a larger workforce, exposing workers to respiratory toxins, repetitive stress injuries, and chronic pain. This occupational hazard can even lead ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/digital4020022
Sheemona Joseph C., S. Ganesh, S. Kannadhasan, K. Selvipriya • Journal of Informatics and Web Engineering
(2025)
Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffic signs—a crucial ta...
DOAJ
Open Access (DOAJ)
DOI: 10.33093/jiwe.2025.4.2.14
YU Haiyang, JING Peng, ZHANG Wentao, XIE Saifei, HUA Zhihua, SONG Caoyuan • Jisuanji gongcheng
(2023)
Road cracks are an important part of road safety detection，and with the development of deep learning and computer vision，methods for extracting crack information in road images using deep learning methods are maturing.Existing deep learning...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0064952
Yonatan T. Tesfaye, Eyasu Zemene, Marcello Pelillo, Andrea Prati • IET Computer Vision
(2016)
Multi‐object tracking is an interesting but challenging task in the field of computer vision. Most previous works based on data association techniques merely take into account the relationship between detection responses in a locally limite...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/iet-cvi.2015.0297
Bin Li, Hong Fu • Applied Computational Intelligence and Soft Computing
(2018)
An accurate and efficient eye detector is essential for many computer vision applications. In this paper, we present an efficient method to evaluate the eye location from facial images. First, a group of candidate regions with regional extr...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2018/1439312
Jin Wang, Zhenghua Yang, Dongming Zhou, Dongming Zhou et al. • Frontiers in Bioinformatics
(2026)
Medical image segmentation is a fundamental task in computer vision and plays an important role in clinical diagnosis and treatment planning. Existing methods are mainly built on either convolutional neural networks (CNNs) or Transformer-ba...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/fbinf.2026.1849059
Saleha K. Al-Atawi • African Vision and Eye Health
(2023)
Background: Digital eye strain (DES) affects an estimated 60 million people worldwide, with a higher prevalence among populations that are occupationally reliant on digital display devices.
Aim: This study investigated risk factors of DES ...
DOAJ
Open Access (DOAJ)
DOI: 10.4102/aveh.v82i1.815
Rui Pimentel de Figueiredo, Stefan Nordborg Eriksen, Ignacio Rodriguez, Simon Bøgh • Automation
(2025)
Corrosion, a naturally occurring process leading to the deterioration of metallic materials, demands diligent detection for quality control and the preservation of metal-based objects, especially within industrial contexts. Traditional tech...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/automation6020023
Caglar Koylu, Chang Zhao, Wei Shao • ISPRS International Journal of Geo-Information
(2019)
Thanks to recent advances in high-performance computing and deep learning, computer vision algorithms coupled with spatial analysis methods provide a unique opportunity for extracting human activity patterns from geo-tagged social media ima...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/ijgi8010045
Neofytos Dimitriou, Ognjen Arandjelović • Information
(2022)
Normalization as a layer within neural networks has over the years demonstrated its effectiveness in neural network optimization across a wide range of different tasks, with one of the most successful approaches being that of batch normaliz...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/info13070337
Dang Minh Tan, Le-Minh Kieu • IATSS Research
(2023)
This paper introduces a new visual dataset and framework to facilitate computer-vision-based traffic monitoring in high density, mixed and lane-free traffic (TRAMON). While there are advanced deep learning algorithms that can detect and tra...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.iatssr.2023.10.001
Mauro Lo Brutto, Paola Meli • International Journal of Heritage in the Digital Era
(2012)
In archaeological Cultural Heritage study 3D modelling has become a very useful process to obtain indispensable data for documentation and visualization. Nowadays the continuous request to achieve photorealistic 3D models has led to testing...
OPENALEX
Open Access
DOI: https://doi.org/10.1260/2047-4970.1.0.1
Ksheera R Shetty, Vaibhav S Soorinje, Prinson Dsouza, Swasthik • International Journal of Advanced Research in Science Communication and Technology
(2022)
Over the last years deep learning methods have been shown to outperform previous state-of-the-art machine learning techniques in several fields, with computer vision being one of the most prominent cases. This review paper provides a brief ...
OPENALEX
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DOI: https://doi.org/10.48175/ijarsct-2898