Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Yuansheng Zhu"'
Publikováno v:
Meitan xuebao, Vol 49, Iss 4, Pp 2179-2194 (2024)
The drilling robot for rock-burst prevention is the key equipment for pressure relief in rock-burst mines, and its accurate map construction and stable navigation under complex working conditions are the basis and premise for realizing intelligent dr
Externí odkaz:
https://doaj.org/article/862ecb5bffca41de89a36217ed80c909
Publikováno v:
Obesity Surgery. 32:3696-3704
Bariatric surgery is associated with elevated risks for adverse birth outcomes, such as small-for-gestational-age infants (SGA). Maternal mental health is a critical regulator of fetal growth, but it is largely overlooked in pregnant women post-surge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c8c5b9a3499fbc6b8e529ffe9c78c8d
https://doi.org/10.1007/s11695-022-06283-7
https://doi.org/10.1007/s11695-022-06283-7
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031250811
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::439ff147e2f50471ff0de5471752ea11
https://doi.org/10.1007/978-3-031-25082-8_15
https://doi.org/10.1007/978-3-031-25082-8_15
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198298
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::392bf543e044caeec3b99eecd0f98a94
https://doi.org/10.1007/978-3-031-19830-4_23
https://doi.org/10.1007/978-3-031-19830-4_23
Autor:
Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
We propose a novel framework to classify large-scale time series data with long duration. Long time seriesclassification (L-TSC) is a challenging problem because the dataoften contains a large amount of irrelevant information to theclassification tar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7384b437596c668f3b24bb8959cac96b
http://arxiv.org/abs/2111.08625
http://arxiv.org/abs/2111.08625
Publikováno v:
ICASSP
Cognitive radar framework has recently been proposed in radar signal processing to develope algorithms for target detection, tracking, and waveform design in the presence of nonstationary environmental (clutter) characteristics. In this framework, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::115334266c5f5f516e885ba35afa3e24
https://doi.org/10.1109/icassp40776.2020.9054669
https://doi.org/10.1109/icassp40776.2020.9054669
Autor:
Ling Tao, Feng Li, Tan Xu, Cynthia Chen, Francesco Lavarra, Song Lin, Ruiyan Zhang, Qihua Li, Zhi-Zhong Liu, Qing Jiang, Teguh Santoso, Zhenglu Shang, Li Jun Liu, Fei Ye, Wei Hsian Yin, Xin Wang, Imad Sheiban, Hong Qu, Jun Zhang, Li Li, Lei Zhou, Jun-Jie Zhang, Shang-Yu Wen, Yaling Han, Shao-Liang Chen, Mengyue Yu, Leng Han, Likun Ma, Ye Yuan, Zening Jin, Lang Hong, Bo Li, Xueming Wu, Shiqin Ding, Alfredo E. Rodriguez, Kitigon Vichairuangthum, Guojun Gan, Lianglong Chen, Yanfang Zhao, Muhammad Munawar, Nai Liang Tian, Damras Tresukosol, Jing Kan, Qinghua Lu, Chotnoparatpat Paiboon, Gregg W. Stone, Defeng Pan, Yulong Tian, Yan Wang, Hesong Zeng, Yuansheng Zhu, Shu Lu, Kai Xu, Song Yang, Li Min Zhou, Fengtang Gao, Yonghong Zheng
Publikováno v:
European heart journal. 41(27)
Aim The present study aimed to assess the benefits of two-stent techniques for patients with DEFINITION criteria-defined complex coronary bifurcation lesions. Methods and results In total, 653 patients with complex bifurcation lesions at 49 internati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e85691ecb50931abf6bc026e97a1da8
https://pubmed.ncbi.nlm.nih.gov/33026065
https://pubmed.ncbi.nlm.nih.gov/33026065
Publikováno v:
Big Data: Learning, Analytics, and Applications.
Existing radar algorithms assume stationary statistical characteristics for environment/clutter. In practical scenarios, the statistical characteristics of the clutter can dynamically change depending on where the radar is operating. Non-stationarity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0ba1a305191f47e28dcf3e98366f79ea
https://doi.org/10.1117/12.2520154
https://doi.org/10.1117/12.2520154
Publikováno v:
Proceedings of SPIE; 2/21/2019, Vol. 10989, p1-8, 8p