Zobrazeno 1 - 10
of 4 254
pro vyhledávání: '"MENG Hui"'
Publikováno v:
Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
Based on the student-oriented teaching practice in the ideological and political reform of the Human Resource Management course, this paper established a teaching evaluation index system with four dimensions: teaching context, teaching input, teachin
Externí odkaz:
https://doaj.org/article/9676e61b7ece42fa858bf507ca23f097
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 1042-1056 (2023)
Recently, convolutional neural network based methods have been studied for ship detection in optical remote sensing images. However, it is challenging to apply them to microwave synthetic aperture radar (SAR) images. First, most of the regions in the
Externí odkaz:
https://doaj.org/article/bf55da974f3b4d29bfb6a3982c16b64d
Autor:
Meng Hui, Zhang Xueqing
Publikováno v:
E3S Web of Conferences, Vol 573, p 01002 (2024)
Xiaohai Lagoon is the largest lagoon in Hainan, connected to the open sea through a narrow channel. In this study, a hydrodynamic numerical model based on the FVCOM model is established to quantitatively investigate the water exchange characteristics
Externí odkaz:
https://doaj.org/article/a0780391b9fa45b68323ef27249d9e8a
Adaptive Synchronization of Fractional-Order Complex-Valued Neural Networks With Time-Varying Delays
Publikováno v:
IEEE Access, Vol 10, Pp 45677-45688 (2022)
In this paper, the adaptive synchronization of fractional-order complex-valued neural networks with time-varying delays (FOCVNNTDs) is investigated. First, two novel fractional-order differential inequalities with time delays are established, which c
Externí odkaz:
https://doaj.org/article/88bda1fefa5a47ce970ac7b38e6a7a2f
Autor:
Zhao, Haochen, Meng, Hui, Yang, Deqian, Xie, Xiaozheng, Wu, Xiaoze, Li, Qingfeng, Niu, Jianwei
Semi-supervised multi-organ medical image segmentation aids physicians in improving disease diagnosis and treatment planning and reduces the time and effort required for organ annotation.Existing state-of-the-art methods train the labeled data with g
Externí odkaz:
http://arxiv.org/abs/2408.04914
Publikováno v:
Gong-kuang zidonghua, Vol 47, Iss 5, Pp 30-34 (2021)
Real-time and accurate acquisition of wind speed data is helpful for precise control of mine wind flow. The existing mine wind speed sensors such as hot-wire type, impeller type, ultrasonic vortex street type and differential pressure type are either
Externí odkaz:
https://doaj.org/article/7272c17a56b14cfdbf860711410edd03
Publikováno v:
IEEE Access, Vol 9, Pp 44784-44796 (2021)
This paper addresses finite-time projective synchronization of stochastic complex-valued neural networks (SCVNNs) with probabilistic time-varying delays (PTVs). First, in the complex domain, PTVs are introduced into the studied model and a novel feed
Externí odkaz:
https://doaj.org/article/6217f82c3bcd4fe2a5b3baead9ac51f5
Publikováno v:
IEEE Access, Vol 9, Pp 48873-48883 (2021)
This paper proposes a multi-feature combination adaptive boost classification model, considering the difference and complementarity of the three different single feature sets for partial discharge pattern recognition. First, eight types of physical m
Externí odkaz:
https://doaj.org/article/6163275b0a6249e5ac79214102e5d77c
Autor:
Liu, Zhi-Jie, Zhou, Jie, Meng, Hui-Xian, Fan, Xing-Yan, Xie, Mi, Zhang, Fu-lin, Chen, Jing-Ling
Publikováno v:
Modern Physics Letters A Vol. 39, No. 9, 2450030 (2024)
Einstein-Podolsky-Rosen (EPR) paradox highlights the absence of a local realistic explanation for quantum mechanics, and shows the incompatibility of the local-hidden-state models with quantum theory. For $N$-qubit states, or more importantly, the $N
Externí odkaz:
http://arxiv.org/abs/2406.17247
Autor:
LI Chao, WANG Deng-hong, QU Wen-jun, MENG Hui-ming, ZHOU Li-min, FAN Xing-tao, LI Xin-wei, ZHAO Hong, WEN Hong-li, SUN Peng-cheng
Publikováno v:
Yankuang ceshi, Vol 39, Iss 5, Pp 658-669 (2020)
BACKGROUND Strategic critical metal mineral resources including rare, dispersed, rare earth and platinum group elements play an increasingly critical role in emerging industries such as new materials, new energy and information technology. With the d
Externí odkaz:
https://doaj.org/article/5f9618855f4f4f178a0e6d3409b6805e