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Academic Articles & Research Papers
Showing 20 of 2,365 academic articles
Muhammad Faseeh, Misbah Bibi, Murad Ali Khan, Atif Rizwan et al. • IEEE Access
(2024)
Accurate depth information is crucial for various computer vision applications such as augmented reality, 3D modeling, and autonomous vehicles. Recent advancements have significantly improved both supervised and self-supervised methods for ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2024.3485089
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
Yuan Zi, Chenyu Zhou, Jiefu Chen, Zhu Han et al. • IEEE Access
(2025)
Efficient large-scale monitoring of methane emissions is crucial for sustainable environmental management, necessitating advanced remote sensing techniques that process hyperspectral imagery to provide detailed insights into the Earthȁ...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3597991
Saleh Albahli, Nudrat Nida, Aun Irtaza, Muhammad Haroon Yousaf et al. • IEEE Access
(2020)
Melanoma is the skin cancer caused by the ultraviolet radiation from the Sun and has only 15-20% of survival rate. Late diagnosis of melanoma leads to the severe malignancy of disease, and metastasis expands to the other body organs i.e. li...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3035345
Lucas Renato Trevisan, Lisiane Brichi, Tamara Maria Gomes, Fabrício Rossi • Remote Sensing
(2023)
Responsible for food production and industry inputs, agriculture needs to adapt to worldwide increasing demands and environmental requirements. In this scenario, black oat has gained environmental and economic importance since it can be use...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/rs15051363
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...
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Open Access (DOAJ)
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
Bo Zhang • IEEE International Conference on Cognitive Informatics
(2010)
In object recognition (classification), it was known that the human brain processes visual information in semantic space mainly, that is, extracting the semantically meaningful features such as line-segments, boundaries, shape and so on. Bu...
OPENALEX
DOI: https://doi.org/10.1109/coginf.2010.5599750
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
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
SHA Yuyang, LU Jingtao, DU Haofan, ZHAI Xiaobing, MENG Weiyu, LIAN Xu, LUO Gang, LI Kefeng • Jisuanji gongcheng
(2025)
Image segmentation is a crucial technology for environmental perception, and it is widely used in various scenarios such as autonomous driving and virtual reality. With the rapid development of technology, computer vision-based blind guidin...
DOAJ
Open Access (DOAJ)
DOI: 10.19678/j.issn.1000-3428.0068674
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
Liaqat Ali, Ce Zhu, Noorbakhsh Amiri Golilarz, Ashir Javeed et al. • IEEE Access
(2019)
Parkinson's disease (PD) is the second most common neurodegenerative disease of central nervous system (CNS). Till now, there is no definitive clinical examination that can diagnose a PD patient. However, it has been reported that PD patien...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2932037
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
Jungong Han, Ling Shao, Dong Xu, Jamie Shotton • IEEE Transactions on Cybernetics
(2013)
With the invention of the low-cost Microsoft Kinect sensor, high-resolution depth and visual (RGB) sensing has become available for widespread use. The complementary nature of the depth and visual information provided by the Kinect sensor o...
OPENALEX
DOI: https://doi.org/10.1109/tcyb.2013.2265378
Shuqin Tu, Qiantao Zeng, Haofeng Liu, Yun Liang et al. • IET Image Processing
(2023)
Abstract The current instance segmentation method can achieve satisfactory results in common scenarios. However, under the overlap or partial occlusion between targets caused by the complex scenes, accurate segmentation of pigs remains a ch...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/ipr2.12880
Mingzhu Qian, Xiaobao Wang • Journal of Advanced Transportation
(2022)
Due to the increase in the number of urban vehicles and the irregular driving behavior of drivers, urban accidents frequently occur, causing serious casualties and economic losses. Active vehicle safety systems can monitor vehicle status an...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2022/4749086
J. Middendorf, A. Kelm, S. Frintrop • The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
(2025)
The paper proposes a novel framework for automatically detecting wind turbines in orthophotos, transferring this information to a database, and linking detected turbines to an existing registry to minimize location inaccuracy. This inaccura...
DOAJ
Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-M-7-2025-35-2025
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