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Academic Articles & Research Papers
Showing 20 of 2,095 academic articles
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
Chrisantus Eze, Christopher Crick • IEEE Access
(2025)
Robot learning of manipulation skills is hindered by the scarcity of diverse, unbiased datasets. While curated datasets can help, challenges remain regarding generalizability and real-world transfer. Meanwhile, large-scale ‘in-the-wi...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3624723
S Yulina • Jurnal Komputer Terapan
(2021)
Aplikasi pendeteksi wajah pada citra digital sangat diperlukan dalam proses pengenalan wajah seseorang. Aplikasi ini banyak dimanfaatkan pada berbagai disiplin ilmu, salah satunya ilmu komputer visi(computer vision) seperti sistem pengenala...
DOAJ
Open Access (DOAJ)
DOI: 10.35143/jkt.v7i1.3411
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
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
Yogesh Patel, Sudeep Tanwar, Pronaya Bhattacharya, Rajesh Gupta et al. • IEEE Access
(2023)
Recent advancements in computer vision processing need potent tools to create realistic deepfakes. A generative adversarial network (GAN) can fake the captured media streams, such as images, audio, and video, and make them visually fit othe...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3251417
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...
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DOI: https://doi.org/10.1109/access.2020.3027685
PMC: 8545281
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
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
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
Xia Zhang, Danning Xu, Ni Zhang • Applied Sciences
(2022)
With the rapid rise of social media, the photo-taking behavior of tourists and their uploaded photos provide a new perspective to explore landscape visual characters. In this study, we provide methodological advancements for assessing lands...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app12168346
Chuanhui Shan, Xinlong Geng, Chao Han • Heliyon
(2024)
Extracting and detecting road network consistency from high-resolution remote sensing images has been a hot and difficult problem in the computer vision. Although it has made significant progress, there is still a phenomenon of high trainin...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.heliyon.2024.e37470
Xinkun Tang, Ying Xu, Feng Ouyang, Ligu Zhu • Applied Sciences
(2023)
Super-resolution in image and video processing has been a challenge in computer vision, with its progression creating substantial societal ramifications. More specifically, video super-resolution methodologies aim to restore spatial details...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app131810165
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
Giuseppe Silano, Luigi Iannelli • IEEE Access
(2021)
The main motivation of this work is to propose a simulation approach for a specific task within the Unmanned Aerial Vehicle (UAV) field, i.e., the visual detection and tracking of arbitrary moving objects. In particular, it is described MAT...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3064758
Hossein Tahani, James M. Keller • IEEE Transactions on Systems Man and Cybernetics
(1990)
A method of evidence fusion, based on the fuzzy integral, is developed. This technique nonlinearly combines objective evidence, in the form of a fuzzy membership function, with subjective evaluation of the worth of the sources with respect ...
OPENALEX
DOI: https://doi.org/10.1109/21.57289
Jonathan P. Dandois, Erle C. Ellis • Remote Sensing
(2010)
High spatial resolution measurements of vegetation structure in three-dimensions (3D) are essential for accurate estimation of vegetation biomass, carbon accounting, forestry, fire hazard evaluation and other land management and scientific ...
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DOI: https://doi.org/10.3390/rs2041157
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
Sharada Prasanna Mohanty, Jakub Czakon, Kamil A. Kaczmarek, Kamil A. Kaczmarek et al. • Frontiers in Artificial Intelligence
(2020)
Translating satellite imagery into maps requires intensive effort and time, especially leading to inaccurate maps of the affected regions during disaster and conflict. The combination of availability of recent datasets and advances in compu...
DOAJ
Open Access (DOAJ)
DOI: 10.3389/frai.2020.534696
Musaddiq Al Ali, Masatoshi Shimoda, Marc Naguib • Applied Sciences
(2024)
This study explores the integration of computer vision with topology optimization for additive manufacturing, with a focus on maximizing eigenfrequency in a design domain. Utilizing custom-developed photogrammetry software, high-resolution ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/app14156786