Zobrazeno 1 - 10
of 72
pro vyhledávání: '"Zhiyu Qu"'
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Natural proteins exhibit rich structural diversity based on the folds of an invariably linear chain. Macromolecular catenanes that cooperatively fold into a single domain do not belong to the current protein universe, and their design and sy
Externí odkaz:
https://doaj.org/article/be2ea8be2a744ea6bf4570f750e858c0
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5079 (2023)
Object detection in unmanned aerial vehicle (UAV) aerial images has received extensive attention in recent years. The current mainstream oriented object detection methods for aerial images often suffer from complex network structures, slow inference
Externí odkaz:
https://doaj.org/article/f2f3e1f28f40404f822fc0e96b7438b5
Autor:
Chaonan Li, Zhiyu Qu, Jiandang Liu, Shuoquan Ruan, Bingli Chen, Jinchuan Ran, Wen Shu, Yuelai Chen, Wenguang Hou
Publikováno v:
Frontiers in Endocrinology, Vol 13 (2022)
ObjectiveTo examine the effect of electroacupuncture on the urodynamics and gut microbiota of rats with stress urinary incontinence (SUI).Materials and methodsThirty 2-month-old female Sprague–Dawley (SD) rats were randomly assigned to 4 groups: no
Externí odkaz:
https://doaj.org/article/6419819df0e44ecb8d22de25d928b823
Publikováno v:
IEEE Access, Vol 8, Pp 49125-49136 (2020)
Intra-pulse modulation recognition of radar signals is an important part of modern electronic intelligence reconnaissance and electronic support systems. With the increasing density of radar signals, the analysis and processing of multi-component rad
Externí odkaz:
https://doaj.org/article/1f0cdc9fff2f4a3cb47a67b3b1002ac8
Publikováno v:
IEEE Access, Vol 7, Pp 117871-117882 (2019)
In Bayesian multi-target tracking (MTT), knowledge of clutter intensity is required for effective multi-target state estimation. In this paper, we propose an online multi-target filter that can operate under background with unknown clutter intensity.
Externí odkaz:
https://doaj.org/article/23949031162f46c9abc030e45908bf98
Publikováno v:
IEEE Access, Vol 7, Pp 166711-166720 (2019)
Detection of urine sediment microscopic images of human urine samples plays an important part in vitro examination. Doctors usually use automatic urine sediment analyzer to assist manual examine. At present, automatic urine sediment analyzers mostly
Externí odkaz:
https://doaj.org/article/4bf2e307ce5e4195ab0b85d9e209c351
Publikováno v:
IEEE Access, Vol 7, Pp 112339-112347 (2019)
Radar signal intra-pulse modulation recognition is an important technology in electronic warfare. A radar signal intra-pulse modulation recognition method based on convolutional denoising autoencoder (CDAE) and deep convolutional neural network (DCNN
Externí odkaz:
https://doaj.org/article/fa33e26e05ce42fbade007ceabff40d1
Publikováno v:
IEEE Access, Vol 6, Pp 43874-43884 (2018)
In this paper, to solve the problem of the low recognition rate of the existing approaches at low signal-to-noise ratio (SNR), an intra-pulse modulation recognition approach for radar signal is proposed. The approach identifies the modulation of rada
Externí odkaz:
https://doaj.org/article/ec941c8c54ca405e9ad700d7dbeca2a1
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2017, Iss 1, Pp 1-12 (2017)
Abstract Principal component analysis (PCA)-based approach for user heading estimation using a smartphone in the pocket suffers from an inaccurate estimation of device attitude, which plays a central role in both obtaining acceleration signals in the
Externí odkaz:
https://doaj.org/article/2152d6cfa46145b898e10e2c3095db98
Publikováno v:
Sensors, Vol 15, Iss 9, Pp 21099-21113 (2015)
This paper presents a novel off-grid direction of arrival (DOA) estimation method to achieve the superior performance in compressed sensing (CS), in which DOA estimation problem is cast as a sparse reconstruction. By minimizing the mixed k-l norm, th
Externí odkaz:
https://doaj.org/article/59f28e71a3e24857a19e390391d25c81