Zobrazeno 1 - 10
of 1 792
pro vyhledávání: '"Liu Ao"'
Autor:
Bi Jiaze, Zhang Pingzhe, Gao Yujia, Dong Menglong, Zhuang Yongzhi, Liu Ao, Zhang Wei, Chen Yiqiong
Publikováno v:
Journal of Intelligent Systems, Vol 32, Iss 1, Pp p. 401-413 (2023)
In order to better solve the shortcomings of the k-means clustering method and density peaks clustering (DPC) method in agricultural image segmentation, this work proposes a method to divide points in a high-dimensional space, and a clustering method
Externí odkaz:
https://doaj.org/article/1158a2aa693c40f4afc4819ddbb7ec02
Autor:
Liu Ao, Chen Yiqiao, Yang Biwen, Guo Zhouyi, Mo Luoqi, Chen Haolin, Tao Chenglong, Su Chengkang, Liu Zhiming
Publikováno v:
Nanophotonics, Vol 11, Iss 22, Pp 5121-5131 (2022)
Fluorescence microscopy based on fluorochrome has been rapidly developed as the candidate for morphological identification of pathogenic fungi over recent years, offering superior rapidity and efficacy over traditional culture methods. However, the i
Externí odkaz:
https://doaj.org/article/38f0ac74aed4452d815c968cdb197a31
Publikováno v:
E3S Web of Conferences, Vol 520, p 03026 (2024)
This paper focuses on niobium applications in the steel industry, aerospace industry, electronics industry, superconducting alloys, medical and other fields. As the demand of niobium resources is increasing year by year, this paper also introduces th
Externí odkaz:
https://doaj.org/article/55edfd2d691c41a0a01e1732175e3cd4
Publikováno v:
Journal of Translational Medicine, Vol 19, Iss 1, Pp 1-12 (2021)
Abstract Background The aim of this study was to investigate the biological functions and underlying mechanisms of SIRT5 in clear cell renal cell carcinoma (ccRCC). Methods SIRT5 expression data in The Cancer Genome Atlas Kidney Clear Cell Carcinoma
Externí odkaz:
https://doaj.org/article/077ff71b11da4e90908c6cfc431d7d00
Autor:
Liu, Ao-Xiang, Qiao, Cong-Feng
The coherence transformation is pivotal for quantum technologies, which cannot always be accomplished deterministically. We investigate the probabilistic coherence transformation under strictly incoherent operations. To this end, by virtue of majoriz
Externí odkaz:
http://arxiv.org/abs/2410.08095
As a potential alternative for implementing the large number of multiplications in convolutional neural networks (CNNs), approximate multipliers (AMs) promise both high hardware efficiency and accuracy. However, the characterization of accuracy and d
Externí odkaz:
http://arxiv.org/abs/2408.12836
Autor:
Guan, Zhihao, Liu, Ruixin, Yuan, Zejian, Liu, Ao, Tang, Kun, Zhou, Tong, Li, Erlong, Zheng, Chao, Mei, Shuqi
As one of the basic while vital technologies for HD map construction, 3D lane detection is still an open problem due to varying visual conditions, complex typologies, and strict demands for precision. In this paper, an end-to-end flexible and hierarc
Externí odkaz:
http://arxiv.org/abs/2408.07163
Publikováno v:
Physics Letters A 527 (2024) 130003
To optimize the entanglement detection, we formulate the metrologically operational entanglement condition in quantum Fisher information by maximizing the QFI on the measurement orbit. Specifically, we consider two classes of typical local observable
Externí odkaz:
http://arxiv.org/abs/2407.15413
Publikováno v:
Polish Maritime Research, Vol 25, Iss s2, Pp 107-116 (2018)
Price decision is studied in a risk-averse retailer-dominated dual-channel supply chain, which consisting of one manufacturers and one retailer with both off-line and on-line channels. Firstly, two mean-variance models in centralized and decentralize
Externí odkaz:
https://doaj.org/article/40b25aa99d564e89a02bd44341f4fd60
In recent years, with the rapid development of graph neural networks (GNN), more and more graph datasets have been published for GNN tasks. However, when an upstream data owner publishes graph data, there are often many privacy concerns, because many
Externí odkaz:
http://arxiv.org/abs/2403.00030