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Academic Articles & Research Papers
Showing 20 of 654 academic articles
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...
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Open Access (DOAJ)
DOI: 10.3390/s24237796
Hairui Zhu, Shanhong Guo, Weixing Sheng, Lei Xiao • Remote Sensing
(2023)
Ship classification technology using synthetic aperture radar (SAR) has become a research hotspot. Many deep-learning-based methods have been proposed with handcrafted models or using transplanted computer vision networks. However, most of ...
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Open Access (DOAJ)
DOI: 10.3390/rs15112904
S. Zlatanova, G. Sithole, M. Nakagawa, Q. Zhu • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2013)
Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the
form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of thi...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprsarchives-XL-4-W4-63-2013
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...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3251417
Xiaolong Ma, Peishun Liu, Haojie Gao, Zikang Yan et al. • IEEE Access
(2025)
In the fields of natural language processing and computer vision, the emergence of large pre-trained models has led to the adoption of fine-tuning them for downstream tasks as an important paradigm. However, the full fine-tuning approach of...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3529807
Kemal Gökhan Nalbant, Şevval UYANIK • DergiPark (Istanbul University)
(2021)
Metaverse is a rapidly developing new technology today. The purpose of this article is to examine this technology from a computer vision and general perspective. In this study, a comprehensive review of Metaverse concepts in computer vision...
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Lubna Riaz, Hafiz Muhammad Qadir, Ghulam Ali, Mubashir Ali et al. • IEEE Access
(2023)
Skin, the body’s biggest organ and a barrier against heat, light, damage, and infection can be affected by many diseases. However, a correct diagnosis can lead to proper treatment. Skin diseases must be identified early to reduce ski...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297644
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...
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Open Access (DOAJ)
DOI: 10.15832/ankutbd.1817471
Asim Niaz, Sareer Ul Amin, Shafiullah Soomro, Hamza Zia et al. • IEEE Access
(2024)
Surveillance videos are crucial for crime prevention and public safety, yet the challenge of defining abnormal events hinders their effectiveness, limiting the applicability of supervised methods. This paper introduces an unsupervised end-t...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3435144
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...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3064758
Suraj Srinivas, Ravi Kiran Sarvadevabhatla, Konda Reddy Mopuri, Nikita Prabhu et al. • Frontiers in Robotics and AI
(2016)
Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep learning techniques have offered a compelling alternative -- th...
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DOI: https://doi.org/10.3389/frobt.2015.00036
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens et al. • arXiv (Cornell University)
(2015)
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmark...
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Open Access
DOI: https://doi.org/10.48550/arxiv.1512.00567
Nianyi Wang, Weilan Wang, Wenjin Hu • IEEE Access
(2021)
Thangka murals are precious cultural heritage for Tibetan history, literature, and art. Digital line drawing of Thangka murals plays a vital role not only as an abstracted expression of Thangka for art appreciation but also as a fundamental...
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Open Access (DOAJ)
DOI: 10.1109/ACCESS.2021.3068199
Renzo Fernández, Néstor Zamora, Victor Coloma, Nino Vega et al. • Technologies
(2026)
The use of prosthetic devices can significantly improve the quality of life of individuals with limb amputations. However, existing prosthetic hands face multiple engineering and manufacturing challenges, making them economically inaccessib...
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Open Access (DOAJ)
DOI: 10.3390/technologies14060334
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens et al. • IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
(2016)
Convolutional networks are at the core of most state of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmark...
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DOI: https://doi.org/10.1109/cvpr.2016.308
Hao Huang, G.T.S. Ho, V. Tang, E.W.H. Chow et al. • Journal of Advanced Research
(2026)
Introduction: Crack damage is a significant issue in tunnel environments, requiring efficient and reliable detection to ensure structural integrity. Many existing solutions are computationally expensive, making them unsuitable for the tight...
DOAJ
Open Access (DOAJ)
DOI: 10.1016/j.jare.2025.11.052
E. Nocerino, F. Lago, D. Morabito, F. Remondino et al. • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2017)
During the last two decades we have witnessed great improvements in ICT hardware and software technologies. Three-dimensional
content is starting to become commonplace now in many applications. Although for many years 3D technologies have b...
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Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLII-2-W3-535-2017
Sanaz Janibeigi, Mahdi Bahaghighat, Zahra Yaghoubi, Nastooh Taheri Javan • CLEI Electronic Journal
(2026)
Conventional fire detection systems, which depend on smoke and fire sensors, frequently have problems with calibration, susceptibility to environmental changes, and the requirement for ongoing maintenance. These flaws can result in unfavora...
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Open Access (DOAJ)
DOI: 10.19153/cleiej.29.2.5
Keyi Li, Xiangyang Zhou, Yifan Jia, Ruizhe Wang et al. • Biosensors
(2026)
Background: Myocardial ischemia (MI) is a major cause of morbidity and mortality worldwide and requires timely and reliable detection. Although Spin-Exchange Relaxation-Free (SERF) magnetocardiography (MCG) provides femtotesla-level sensiti...
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Open Access (DOAJ)
DOI: 10.3390/bios16040228
Uma Narayanan, Pavan Prajith, Rijo Thomas Mathew, Royal Alexandar et al. • Inteligencia Artificial
(2024)
Researchers are concentrating on developing technologies to identify and caution drivers against driving while distracted because it is a major cause of traffic accidents. According to the National Highway Traffic Safety Administrator's rep...
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Open Access (DOAJ)