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Academic Articles & Research Papers
Showing 20 of 872 academic articles
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
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 ...
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DOI: https://doi.org/10.48175/ijarsct-2898
V. G. Dhanya, Anakkallan Subeesh, Nand Lal Kushwaha, Dinesh Kumar Vishwakarma et al. • Artificial Intelligence in Agriculture
(2022)
The agriculture industry is undergoing a rapid digital transformation and is growing powerful by the pillars of cutting-edge approaches like artificial intelligence and allied technologies. At the core of artificial intelligence, deep learn...
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DOI: https://doi.org/10.1016/j.aiia.2022.09.007
Snehal D. Patil, Prashant P. Bartakke • IEEE Access
(2025)
With the expeditious advancement in multicarrier automotive in-vehicle monitoring for a bus conforming environment with computer vision, there is an exigency for a setup subsisting on inspection cameras and an onboard embedded computing dev...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3637900
Yaguang Guo, Qi Zou, Lu Jin • IET Computer Vision
(2021)
Abstract Because of the popularisation of high‐resolution images, detecting objects in these images quickly and accurately has attracted increasing attention in recent studies. Current convolutional neural networks (CNN)‐based detection met...
DOAJ
Open Access (DOAJ)
DOI: 10.1049/cvi2.12042
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
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...
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Open Access (DOAJ)
DOI: 10.5194/isprs-archives-XLVIII-M-7-2025-35-2025
Siham Bakkouri, Abderrahmane Elyousfi • IEEE Access
(2022)
As an extension of the High Efficiency Video Coding (HEVC) standard, the 3D-HEVC needs to encode multiple texture videos and depth maps components. In the 3D-HEVC inter-coding test model, a large variety of Coding Unit (CU) sizes are adopte...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3147502
Jinyingming Zhang, Jin Liu, Xiongwei Xu, Peizhu Gong et al. • IEEE Access
(2020)
Segmenting characters in an image is a classic yet challenging task in computer vision. Correctly determining boundaries of adhesive characters with various scales and shapes is essential for character segmentation, especially for separatin...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2020.3036545
Wei Xue, Xiaoyan Xia, Pengcheng Wan, Ping Zhong et al. • Tsinghua Science and Technology
(2025)
Deep neural networks are commonly used in computer vision tasks, but they are vulnerable to adversarial samples, resulting in poor recognition accuracy. Although traditional algorithms that craft adversarial samples have been effective in a...
DOAJ
Open Access (DOAJ)
DOI: 10.26599/TST.2024.9010029
M. Cihad Arslanoglu, Abdulkadir Albayrak, Huseyin Acar • Engineering Science and Technology, an International Journal
(2026)
Karyotyping is a widely used laboratory technique to detect abnormalities in chromosomes. Karyotyping consists of many steps, including collecting samples, cell culturing and metaphase cell detection. Cytogeneticists examine all the images ...
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Open Access (DOAJ)
DOI: 10.1016/j.jestch.2025.102262
Jayasingam Adhuran, Gosala Kulupana, Anil Fernando • IEEE Access
(2022)
The rapid development of virtual reality applications continues to urge better compression of 360° videos owing to the large volume of content. These videos are typically converted to 2-D formats using various projection techniques i...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2022.3219861
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
Hongjian Wang • Journal of Electrical and Computer Engineering
(2023)
With the development of the economy and real-time embedded systems and the progress of science and technology, people’s economic income forms have undergone tremendous changes, and the concept of financial management has become clearer in p...
DOAJ
Open Access (DOAJ)
DOI: 10.1155/2023/5501265
Manabu Okawa • IEEE Access
(2025)
Offline writer identification is an essential component of biometric and forensic security fields, focusing on identifying the authors of handwritten documents in physical form. Historically, this approach has focused on text-dependent iden...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3586994
Mingming Tan, Tao Fang, Yingle Fan, Wei Wu et al. • IEEE Access
(2019)
The dehazing of images shot in fog is a hot spot in the study of computer vision. Unlike dehazing methods, which use an atmospheric scattering model, the method proposed here is based on fusion coding of contours and colors. It simulates th...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2019.2945108
Sudhakaran Pradeep, Koushik V.S.K., Charan N., M. Preetha • E3S Web of Conferences
(2024)
The aim of computer vision techniquesand deep learning in the era of digitalization is to derive valuable insights from them and generate novel understanding. This makes it possible to employ imaging to quickly diagnose and treat a variety ...
DOAJ
Open Access (DOAJ)
DOI: 10.1051/e3sconf/202449103003
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
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...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2023.3297644
Giovana A. Benvenuto, Marilaine Colnago, Maurício A. Dias, Rogério G. Negri et al. • Bioengineering
(2022)
In ophthalmology, the registration problem consists of finding a geometric transformation that aligns a pair of images, supporting eye-care specialists who need to record and compare images of the same patient. Considering the registration ...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/bioengineering9080369