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Bai Weihua, Liu Xiaoxu, Tan Guangyuan, Sun Yueqiang, Du Qifei, Meng Xiangguang, Liu Congliang, Xia Junming, Yin Cong, Huang Feixiong, Hu Peng, National Space Science Center, Chinese Academy of Sciences (NSSC/CAS), China D4.T2.O3.2: THE IMPACTS OF IONOSPHERE AND GEOMAGNETIC FIELD ON GNSS ..... 43 REFLECTOMETRY PHASE DELAYS
Guangyuan Tan received the Ph.D. degree in Earth and space exploration technology from University of Chinese Academy of Sciences, Beijing, China, in 2021. He is currently a Postdoc Researcher with the National Space Science Center, Chinese Academy of Sciences.
GNSS-R Global Sea Surface Wind Speed Retrieval Based on Deep Learning. IEEE Transactions on Geoscience and Remote Sensing. 2023 | Journal article. DOI: 10.1109/TGRS.2023.3309690. Contributors : Xiaoxu Liu; Weihua Bai; Guangyuan Tan; Feixiong Huang; Junming Xia; Cong Yin; Yueqiang Sun; Qifei Du; Xiangguang Meng; Congliang Liu et al.
30 Dis 2019 · Tan Guangyuan served as the technical director from April 2013 to November 2015 and the senior director of the operation centre from November 2015 to December 2017. With effect from December 2017, he has served as the senior director of the animal conservation centre.
Film yang ditulis Tan Guangyuan. Berikut ini adalah daftar otomatis (dari kotak info { { Infobox film }}) semua film yang ditulis oleh Tan Guangyuan yang memiliki artikel di Wikipedia Bahasa Indonesia. Penulis film terdiri dari beberapa jenis: Penulis skenario ( screenplay ), penulis cerita ( story ), penulis dialog, penulis antarjudul (untuk ...
11 Dis 2018 · Tan and Huang recycle all the staples of the effects-heavy, fantasy martial-arts movie without adding anything new. The 20-minute opening sequence, set entirely in a vast set representing Floating Moon City’s marketplace, immediately tells viewers what they’re in for – a VFX extravaganza with heroes, giant monsters and (cute-ish) robots ...
22 Mac 2021 · Cluster Contrast for Unsupervised Person Re-Identification. Zuozhuo Dai, Guangyuan Wang, Weihao Yuan, Xiaoli Liu, Siyu Zhu, Ping Tan. State-of-the-art unsupervised re-ID methods train the neural networks using a memory-based non-parametric softmax loss.
