Zobrazeno 1 - 10
of 356
pro vyhledávání: '"ZHANG Zepeng"'
Autor:
QIN Yunpu, ZHANG Zhirui, ZHAO Yongzhi, WANG Yong, LIU Luan, ZHANG Yiming, XU Haifeng, JI Xiaoxia, ZHANG Zepeng, WANG Yuelong, HE Qing, LU Huifeng, ZHANG Deyin, WU Haoyang, PU Enxiang, JIA Baorui, QU Xuanhui, QIN Mingli
Publikováno v:
Fenmo yejin jishu, Vol 42, Iss 3, Pp 215-225 (2024)
Aluminum nitride (AlN) has high thermal conductivity, good insulation, low thermal expansion coefficient, non-magnetic, and other excellent properties used as a key material for high-end equipment in semiconductor, electric vacuum, and other fields.
Externí odkaz:
https://doaj.org/article/f6cc267b4a944f06b5cc179c9225649e
Publikováno v:
Tongxin xuebao, Vol 45, Pp 29-43 (2024)
In response to the difficulty in obtaining perfect channel state information (CSI) in high mobility scenarios leaded to the deterioration of the performance of reconfigurable intelligent surface multiple-input multiple-output (RIS-MIMO) system’s ac
Externí odkaz:
https://doaj.org/article/7a63af75d3014412b5e15bcc969bff9d
Autor:
MA Qiang (马强), ZHOU Xiubin (周修彬), TANG Yicheng (汤易成), ZHANG Zepeng (张泽鹏), HUANG Lifen (黄丽芬), WANG Ningbo (王宁泊), JI Mengjuan (季孟娟), WANG Hongyan (王宏岩)
Publikováno v:
中西医结合护理, Vol 9, Iss 3, Pp 208-211 (2023)
This paper summarized the nursing measures for a patient undergoing transapical transcatheter aortic valve replacement. Key issues of perioperative nursing included preoperative preparation, preoperative preparation, preoperative consultation, intrao
Externí odkaz:
https://doaj.org/article/eb1704cc9ad34a74bf6ede1619df8f95
Autor:
Zhang, Zepeng, Fink, Olga
Over the last decade, graph neural networks (GNNs) have made significant progress in numerous graph machine learning tasks. In real-world applications, where domain shifts occur and labels are often unavailable for a new target domain, graph domain a
Externí odkaz:
http://arxiv.org/abs/2411.13137
Publikováno v:
Meikuang Anquan, Vol 52, Iss 2, Pp 131-134 (2021)
In order to solve the problems of high water consumption and poor atomization effect of mine swirl nozzles, the relevant parameters that affect the spray effect are proposed: the spiral angle of the swirl core, the length ratio of the nozzle contract
Externí odkaz:
https://doaj.org/article/d19f871ffc444774b155436a1a61ee20
Autor:
Zhang, Zepeng, Fink, Olga
Detecting and localizing leakages is a significant challenge for the efficient and sustainable management of water distribution networks (WDN). Leveraging the inherent graph structure of WDNs, recent approaches have used graph-based data-driven metho
Externí odkaz:
http://arxiv.org/abs/2408.02797
Publikováno v:
Science and Engineering of Composite Materials, Vol 25, Iss 1, Pp 53-58 (2018)
In this paper, cationic organic montmorillonites (OMts) were prepared by dry, semi-dry, and wet methods. The structures and properties of these OMts according to the modification methods were studied. By the characterization of XRD, TG-DTA, lipophili
Externí odkaz:
https://doaj.org/article/ad9d777d0b50436aa1342d5cff3ba431
Publikováno v:
IEEE Journal on Selected Areas in Communications 2024
Fractional programming (FP) arises in various communications and signal processing problems because several key quantities in the field are fractionally structured, e.g., the Cram\'{e}r-Rao bound, the Fisher information, and the signal-to-interferenc
Externí odkaz:
http://arxiv.org/abs/2312.05726
Weighted sum-rate (WSR) maximization plays a critical role in communication system design. This paper examines three optimization methods for WSR maximization, which ensure convergence to stationary points: two block coordinate ascent (BCA) algorithm
Externí odkaz:
http://arxiv.org/abs/2311.04546
The graph neural network (GNN) models have presented impressive achievements in numerous machine learning tasks. However, many existing GNN models are shown to be vulnerable to adversarial attacks, which creates a stringent need to build robust GNN a
Externí odkaz:
http://arxiv.org/abs/2210.01002