Zobrazeno 1 - 10
of 100
pro vyhledávání: '"Gaoming HUANG"'
Autor:
Jiaxin Li, Yao Du, Gaoming Huang, Chiyu Zhang, Zhenfeng Ye, Jinghui Zhong, Xiaoqing Xi, Yawei Huang
Publikováno v:
iScience, Vol 27, Iss 12, Pp 110843- (2024)
Summary: Preoperative diagnosis of infection stones presents a significant clinical challenge. We developed a machine learning model to predict urinary infection stones using computed tomography (CT) values, enabling in vivo preoperative identificati
Externí odkaz:
https://doaj.org/article/c3d4dca0b23a4cc6b55143fdfa888a2d
Publikováno v:
ETRI Journal, Vol 41, Iss 6, Pp 750-759 (2019)
AbstractPresently, the extraction of hand‐crafted features is still the dominant method in radar emitter recognition. To solve the complicated problems of selection and updation of empirical features, we present a novel automatic feature extraction
Externí odkaz:
https://doaj.org/article/1c63163c4e4d4a5e9a3ef6360687d512
Publikováno v:
IEEE Access, Vol 7, Pp 98653-98668 (2019)
Radar signal waveform recognition, as a key component of radar target recognition, has always been a research topic of great concern in the field of electronic countermeasures. In this paper, aiming at the contradiction between improving recognition
Externí odkaz:
https://doaj.org/article/35416c3f8cbb4725b4adff45fc2d0c74
Autor:
Yaheng Zhang, Chao Fan, Jianghong Tang, Gaoming Huang, Xinfa Qiang, Yu Fu, Wenjuan Zhou, Juan Wu, Shouqiang Huang
Publikováno v:
Nanomaterials, Vol 12, Iss 15, p 2535 (2022)
The metal doping at the Pb2+ position provides improved luminescence performance for the cesium lead halide perovskites, and their fabrication methods assisted by microwave have attracted considerable attention due to the advantages of fast heating a
Externí odkaz:
https://doaj.org/article/8bf4adbf8d21424bacc6b07fee62fe88
Publikováno v:
The Journal of Engineering (2019)
In the passive coherent location system with fixed observers, the target tracking performance is limited by the inappropriate localisation geometry. This study proposes an adaptive observer trajectory optimisation (AOTO) algorithm in terms of minimis
Externí odkaz:
https://doaj.org/article/4a505d9a632446babc3537b7c7bd46fb
Publikováno v:
The Journal of Engineering (2019)
With the electromagnetic environment becoming more and more complex and the analysis demand of the radar emitter intropulse signal presenting more and more urgent, a modified method of the radar emitter intrapulse signal blind sorting under wavelet d
Externí odkaz:
https://doaj.org/article/5bb13699f33549de963fdc4a09f3a263
Publikováno v:
Sensors, Vol 18, Iss 9, p 3103 (2018)
To cope with the complex electromagnetic environment and varied signal styles, a novel method based on the energy cumulant of short time Fourier transform and reinforced deep belief network is proposed to gain a higher correct recognition rate for ra
Externí odkaz:
https://doaj.org/article/e80747f347d84d3c9bcc711d74708c7b
Publikováno v:
In Chinese Journal of Aeronautics October 2016 29(5):1378-1384
Publikováno v:
Journal of Systems Engineering and Electronics. 31:1193-1205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ee932eb04ed506a2d23869ba14f00ad2
https://doi.org/10.23919/jsee.2020.000092
https://doi.org/10.23919/jsee.2020.000092
Publikováno v:
IET Radar, Sonar & Navigation. 14:728-735
To deal with problems of uncertain modulations and multiple pulse widths in pulse waveforms (PWs) during the identifying procedure, a novel specific emitter identification (SEI) method based on PW images (PWIs) and convolutional neural network is pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a33e29505f875230f82823a0ce212250
https://doi.org/10.1049/iet-rsn.2019.0456
https://doi.org/10.1049/iet-rsn.2019.0456