Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Tong Mao"'
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 2, Pp 236-246 (2023)
Abstract Radar enables a convenient, contactless way for gait analysis in daily scenarios, such as in‐home health monitoring. However, the overlapping of human limb components could occur in both range and velocity dimensions of the radar echo, whi
Externí odkaz:
https://doaj.org/article/60c08082867249d2a14957ed531e5aba
Publikováno v:
IET Radar, Sonar & Navigation, Vol 16, Iss 1, Pp 161-169 (2022)
Abstract Due to the high‐speed rotors and overlapped propellers, it is still a challenge to extract the micro‐motion parameters of the quadcopter. In this work, the authors establish a radar backscattering model of the quadcopter based on the fli
Externí odkaz:
https://doaj.org/article/7430201f476d4f7bb3f4e9ffff6a4d3a
Publikováno v:
Sensors, Vol 23, Iss 8, p 3837 (2023)
The detection and recognition of marine targets can be improved by utilizing the micro-motion induced by ocean waves. However, distinguishing and tracking overlapping targets is challenging when multiple extended targets overlap in the range dimensio
Externí odkaz:
https://doaj.org/article/9ee8c4e240054557bab5ad6eac211292
Autor:
Tong Mao, Kaiyu Zhou
Publikováno v:
Dianxin kexue, Vol 30, Pp 134-142 (2014)
Wearable device service got a fast development in the last two years. But for the mobile operator, the value of wearable device, as well as the way to get into this business, is still unclear. The technologies and market development of wearable devic
Externí odkaz:
https://doaj.org/article/cb43e6b206e34b73b8c9fb3e2527c781
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 215, Iss , Pp 112123- (2021)
Alexandrium pacificum is a toxin-producing dinoflagellate with allelopathic effects. The elucidation of allelopathic mechanism of A. pacificum is of great significance for understanding A. pacificum blooms. To this end, using the model diatom Thalass
Externí odkaz:
https://doaj.org/article/0a848b8dc0b84511804018173fc36e6f
Publikováno v:
Analysis and Applications. 21:93-125
Deep convolutional neural networks (DCNNs) have achieved great empirical success in many fields such as natural language processing, computer vision, and pattern recognition. But there still lacks theoretical understanding of the flexibility and adap
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::834588be60aef7b96bdc1cebc6b90a25
https://doi.org/10.1142/s0219530522400085
https://doi.org/10.1142/s0219530522400085
Publikováno v:
Mathematics; Volume 11; Issue 13; Pages: 2959
The loss of fine particles from the skeleton formed by coarse particles due to seepage action significantly affects the grading, void ratio, and mechanical properties of soil. This results in several issues of engineering hazards. In order to analyze
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::d54637b39461efd51808495b488b2c2d
Autor:
Zhimin Li, Yan Yan, Minjie Liu, Zehua Qu, Yongcheng Yue, Tong Mao, Shuang Zhao, Mingkai Liu, Zhiqun Lin
Publikováno v:
Proceedings of the National Academy of Sciences. 120
The ability to construct metal single-atom catalysts (SACs) asymmetrically coordinated with organic heteroatoms represents an important endeavor toward developing high-performance catalysts over symmetrically coordinated counterparts. Moreover, it is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::36d0f9d85fce98e192d973bbe458ebf8
https://doi.org/10.1073/pnas.2218261120
https://doi.org/10.1073/pnas.2218261120
Publikováno v:
Biomacromolecules. 23:1789-1802
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e4d57ac42b0198e791acfbebd9bb0e2
https://doi.org/10.1021/acs.biomac.2c00067
https://doi.org/10.1021/acs.biomac.2c00067
Autor:
Tong Mao, Ding-Xuan Zhou
Publikováno v:
Advances in Computational Mathematics. 48
The efficiency of deep convolutional neural networks (DCNNs) has been demonstrated empirically in many practical applications. In this paper, we establish a theory for approximating functions from Korobov spaces by DCNNs. It verifies rigorously the e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d805d47325b6bf77b74bd274ff0cb42
https://doi.org/10.1007/s10444-022-09991-x
https://doi.org/10.1007/s10444-022-09991-x