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Academic Articles & Research Papers
Showing 8 of 8 academic articles
Xi Li, Yibei Wang, Bin Wen • Journal of King Saud University: Computer and Information Sciences
(2026)
Abstract Cross-institutional federated learning suffers from centralized trust fragility, poisoning attacks, and the lack of verifiable contribution-based incentives. This paper proposes BFLP, a blockchain-based federated learning protocol ...
DOAJ
Open Access (DOAJ)
DOI: 10.1007/s44443-026-01162-y
Yang Zhang, Xiaobing Chen, Su Sun, Hongfeng You et al. • Scientific Reports
(2025)
Abstract To address the challenges of low performance in vehicle image detection from UAV aerial imagery, difficulties in small target feature extraction, and the large parameter size of existing models, we propose the OSD-YOLOv10 algorithm...
DOAJ
Open Access (DOAJ)
DOI: 10.1038/s41598-025-09825-y
Yahui Luo, Guangsheng Gao, Wenwu Hu, Pin Jiang et al. • Agriculture
(2026)
To address the challenges of rapid and accurate grape variety identification in natural orchard environments, along with the demand for efficient deployment on mobile devices, we propose in this paper YOLOv11n-GrapeLite, a lightweight model...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/agriculture16070794
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
Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao • IEEE Access
(2025)
Model size and inference speed have brought about major challenges for the deployment of Convolutional Neural Networks (CNNs) in many applications. An effective approach to address this issue is model quantization, which achieves network co...
DOAJ
Open Access (DOAJ)
DOI: 10.1109/ACCESS.2025.3551802
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
Qing Huang, Xiaoyan Zhang, Anqi Jin, Menghui Lei et al. • Journal of Marine Science and Engineering
(2025)
Many studies have used various time-frequency feature extraction methods to convert ship-radiated noise into three-dimensional (3D) data suitable for computer vision (CV) models, which have shown good results in public datasets. However, tr...
DOAJ
Open Access (DOAJ)
DOI: 10.3390/jmse13030599
Khawja Imran Masud, Md Yasin Zihad, Mehedi Hasan Shuvo, Mst Raonik Jannat et al. • PLoS ONE
(2026)
Early and real-time detection of rice leaf diseases (RLD) poses a significant challenge for farmers, especially in rural regions with limited access to advanced technology. Conventional deep learning models often require substantial computa...
DOAJ
Open Access (DOAJ)
DOI: 10.1371/journal.pone.0356383