Zobrazeno 1 - 10
of 33 194
pro vyhledávání: '"Semi-Supervised"'
Publikováno v:
Electronic Research Archive. 2024, Vol. 32 Issue 10, p1-15. 15p.
Autor:
Ma, Yongqing, Zheng, Yifeng, Zhang, Wenjie, Wei, Baoya, Lin, Ziqiong, Liu, Weiqiang, Li, Zhehan
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 705-736.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-05-2024-0202
Autor:
Yuanhang Qi, M. Shamim Hossain
Publikováno v:
Journal of Advanced Research, Vol 66, Iss , Pp 47-57 (2024)
Introduction: In recent years, the proliferation of Industrial Internet of Things (IIoT) devices has resulted in a substantial increase in data generation across various domains, including the nascent 6G networks. Digital Twins (DTs), serving as virt
Externí odkaz:
https://doaj.org/article/9c94618725b34529921109407d3c1f33
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-21 (2024)
Abstract While spatial transcriptomics offer valuable insights into gene expression patterns within the spatial context of tissue, many technologies do not have a single-cell resolution. Here, we present SMART, a marker gene-assisted deconvolution me
Externí odkaz:
https://doaj.org/article/702ff12f3d4a4ea5920d36824cb9b67e
Publikováno v:
AIMS Mathematics, Vol 9, Iss 11, Pp 31444-31469 (2024)
Manifold regularization semi-supervised learning is a powerful graph-based semi-supervised learning method. However, the performance of semi-supervised learning methods based on manifold regularization depends to some extent on the quality of the man
Externí odkaz:
https://doaj.org/article/782915a8e21f4cc99d412069723eb374
Autor:
Haibo Peng, Tao Liu, Pengcheng Li, Fang Yang, Xing Luo, Xiaoqing Sun, Dong Gao, Fengyu Lin, Lecheng Jia, Ningyue Xu, Huigang Tan, Xi Wang, Tao Ren
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Radiotherapy has been demonstrated to be one of the most significant treatments for cervical cancer, during which accurate and efficient delineation of target volumes is critical. To alleviate the data demand of deep learning and promote the
Externí odkaz:
https://doaj.org/article/14432ac074454a4ebac3c2fcd455410c
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 5, Pp 1428-1438 (2024)
Accurate classification of encrypted traffic plays an important role in network management. However, current methods confronts several problems: inability to characterize traffic that exhibits great dispersion, inability to classify traffic with mult
Externí odkaz:
https://doaj.org/article/3b4df5fb07c744ada8a3fe5c53820297
Publikováno v:
BMC Cardiovascular Disorders, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Background Late gadolinium enhancement cardiac magnetic resonance imaging (LGE-CMR) is a valuable cardiovascular imaging technique. Segmentation of cardiac chambers from LGE-CMR is a fundamental step in electrophysiological modeling and card
Externí odkaz:
https://doaj.org/article/b14d7d49d3304a7ebc5de8cffba0765e
Publikováno v:
Journal of Rock Mechanics and Geotechnical Engineering, Vol 16, Iss 10, Pp 4177-4191 (2024)
The accuracy of landslide susceptibility prediction (LSP) mainly depends on the precision of the landslide spatial position. However, the spatial position error of landslide survey is inevitable, resulting in considerable uncertainties in LSP modelin
Externí odkaz:
https://doaj.org/article/6b749188568245bb9b21322fedcdcbf7
Publikováno v:
Journal of Electrical Systems and Information Technology, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Roll force prediction plays a significant role in rolling schedule and optimization. For a specific steel grade, the roll force can be determined by the aid of several factors: rolling speed, initial thickness, ratio of thickness reduction,
Externí odkaz:
https://doaj.org/article/97f2b631476b456c9df946bf4a685957