Zobrazeno 31 - 40
of 74
pro vyhledávání: '"ZHAO LI"'
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Akademický článek
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Akademický článek
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Autor:
Pengfei Wang, Yang Zhang, Jianqi Wang, Fugui Qi, Xiao Yu, Zhao Li, Hao Lv, Yangyang Ma, Fulai Liang, Xue Huijun
Publikováno v:
IEEE Access, Vol 8, Pp 121572-121583 (2020)
Distinguishing between humans and common animals through a wall is necessary for facilitating successful rescue of survivors and enhancing the confidence of rescuers in post-disaster search and rescue operations. However, few existing solutions are a
Publikováno v:
IEEE Access, Vol 8, Pp 64591-64602 (2020)
Existing recommender systems usually generate personalized recommendation lists based on the estimation of the preference scores over user-item pairs, while ignoring the impacts of the entire display list that plays a central part in the decision mak
Autor:
Zhao Li, Jingliang Wang, Yuegang Tan, Kang Yun, Xiangsheng Zeng, Yi Liu, Ping Xia, Han Song, Mingyao Liu, Liu Hong
Publikováno v:
IEEE Access, Vol 8, Pp 32412-32420 (2020)
This paper proposes a curvature demodulation of Mach-Zehnder interferometer (MZI) sensors based on complete spectral information. An MZI sensor composed of two waist-enlarged single mode fibers (SMFs) was fabricated. To research the spectral characte
Publikováno v:
IEEE Access, Vol 12, Pp 24554-24568 (2024)
Leveraging the excellent feature representation capabilities of neural networks, deep learning methods have been widely adopted for object detection in synthetic aperture radar (SAR) images. However, persistent challenges are encountered in SAR ship
Externí odkaz:
https://doaj.org/article/217d0b81f62d4c9485aca8b7686914f9
Publikováno v:
IEEE Access, Vol 7, Pp 73790-73803 (2019)
The low-cost and easy-deployable mobile ad hoc networks (MANETs) have great potential to serve as the underlay network architecture for implementing lots of critical applications. In order to support different demands in such applications, understand
Publikováno v:
IEEE Access, Vol 7, Pp 56890-56903 (2019)
Measurement and characterization of acoustic noise in water pipeline systems across the 10 Hz to 100 kHz acoustic frequency band are reported in this paper. The motivation for the noise characterization is to support the development of acoustic signa
Publikováno v:
IEEE Access, Vol 7, Pp 176317-176328 (2019)
Link prediction is a demanding task in real-world scenarios, such as recommender systems, which targets to predict the unobservable links between different objects by learning network-structured data. In this paper, we propose a novel multi-view grap