Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Hexiang Bai"'
Publikováno v:
大数据, Vol 9, Pp 72-89 (2023)
Aimed at the problem that a large number of hyperspectral remote sensing images were rich in spectral and spatial information, and the labeled samples available for image classification were far less than unlabeled samples, a semisupervised spectral-
Externí odkaz:
https://doaj.org/article/7b92d6e0e695421dbf2f5a6b12e9b5ea
Publikováno v:
PLoS ONE, Vol 19, Iss 2 (2024)
Externí odkaz:
https://doaj.org/article/31dd6aef53bf4311b6b068dec9ed77f7
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3755 (2023)
The field of remote sensing information processing places significant research emphasis on object detection (OD) in high-spatial-resolution remote sensing images (HSRIs). The OD task in HSRIs poses additional challenges compared to conventional natur
Externí odkaz:
https://doaj.org/article/0994c235d1f44e26af63568620f64393
Autor:
Xiaoyue Zhu, Zhipeng Yang, Zhiliang He, Jingyao Hu, Tianxiu Yin, Hexiang Bai, Ruoyu Li, Le Cai, Haijian Guo, Mingma Li, Tao Yan, You Li, Chenye Shen, Kaicheng Sun, Yu Liu, Zilin Sun, Bei Wang
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
BackgroundThere is still controversy surrounding the precise characterization of prediabetic population. We aim to identify and examine factors of demographic, behavioral, clinical, and biochemical characteristics, and obesity indicators (anthropomet
Externí odkaz:
https://doaj.org/article/d6386035b01443c393670d8bd8af6f75
Autor:
Jingyao, Hu, Xiaoyue, Zhu, Defu, Yuan, Dakang, Ji, Haijian, Guo, You, Li, Zhiliang, He, Hexiang, Bai, Qiuqi, Zhu, Chenye, Shen, Haonan, Ma, Fangteng, Fu, Bei, Wang
Publikováno v:
Endokrynologia Polska. 73:968-987
The association between sleep duration and metabolic syndrome (MetS) remains controversial, and few have considered the effects of sleep quality. We performed a meta-analysis to clarify the relationship of sleep duration and sleep quality with the ri
Publikováno v:
Information Sciences. 586:525-539
Publikováno v:
Computers & Geosciences. 175:105335
Publikováno v:
International Journal of Geographical Information Science. 34:2077-2114
This paper proposes a new classification method for spatial data by adjusting prior class probabilities according to local spatial patterns. First, the proposed method uses a classical statistical classifier to model training data. Second, the prior
Autor:
Qiuming Cheng, Jinfeng Wang, Peter M. Atkinson, Alfred Stein, Hexiang Bai, Yuehong Chen, Jianghao Wang, Yan Jin, Yong Ge, Mengxiao Liu
Publikováno v:
Earth-science reviews, 197:102897, 1-17. Elsevier
The properties of geographical phenomena vary with changes in the scale of measurement. The information observed at one scale often cannot be directly used as information at another scale. Scaling addresses these changes in properties in relation to
Publikováno v:
International Journal of Approximate Reasoning. 105:194-216
The rough set theory is closely related with evidence theory. It has been demonstrated that certain rough approximation spaces are associated with certain belief structures such that the lower and upper approximation operations induced by the approxi