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pro vyhledávání: '"Shuxiang Li"'
Autor:
Xianbing Pan, Shuxiang Li
Publikováno v:
EURASIP Journal on Wireless Communications and Networking, Vol 2020, Iss 1, Pp 1-12 (2020)
In order to improve the adaptive management ability of virtual machine placement in cloud computing, an adaptive management and multi-objective optimization method for virtual machine placement in cloud computing is proposed based on particle swarm o
Publikováno v:
Neural Computing for Advanced Applications ISBN: 9789811651878
Selecting the appropriate meta-features to represent the optimization problems was studied previously. However, the research on the extraction of meta-features for multi-objective problems is lacking. In this paper, a set of meta-features including a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de90d4a84ba37add393135d9dc4f35f7
https://doi.org/10.1007/978-981-16-5188-5_31
https://doi.org/10.1007/978-981-16-5188-5_31
Autor:
Zhili Zuo, Hongbin Zhang, Munikishore Rachakunta, Bin Liu, Shuqun Zhang, Xuan Jiang, Shuxiang Li, Dingyuan Chen
Publikováno v:
Computational biology and chemistry. 87
Canonical transient receptor potential-5 (TRPC5), which belongs to the subfamily of transient receptor potential (TRP) channels, is a non-selective cation channel mainly expressed in the central nervous system and shows more restricted expression in
Publikováno v:
Complexity, Vol 2020 (2020)
This paper aims to propose an improved learning algorithm for feature selection, termed as binary superior tracking artificial bee colony with dynamic Cauchy mutation (BSTABC-DCM). To enhance exploitation capacity, a binary learning strategy is propo
Publikováno v:
Neural Computing for Advanced Applications ISBN: 9789811576690
Feature selection is a NP-hard combinatorial problem of selecting the effective features from a given set of original features to reduce the dimension of dataset. This paper aims to propose an improved variant of learning algorithm for feature select
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ccd3986c2a6908e8355206ec0687fb13
https://doi.org/10.1007/978-981-15-7670-6_25
https://doi.org/10.1007/978-981-15-7670-6_25
Autor:
Biju Parekkadan, Syukri Shukor, Jingqian Liu, Benjamin Larman, Wilma K. Olson, Vikas Nanda, Alfred Tamayo, Lorenzo Tosi, Shuxiang Li
Publikováno v:
Biomolecules, Vol 9, Iss 5, p 199 (2019)
Biomolecules
Biomolecules
Multiplexed cloning of long DNA sequences is a valuable technique in many biotechnology applications, such as long-read genome sequencing and the creation of open reading frame (ORF) libraries. Long-adapter single-stranded oligonucleotide (LASSO) pro
Publikováno v:
Journal of Physics: Conference Series. 1395:012003
Machine learning to diagnose breast cancer is an important, real-world medical problem. As one of the most popular machine learning algorithm, K-Nearest Neighbors (KNN) algorithm is widely used in breast cancer classification and can provide high cla
Publikováno v:
Biophysical Journal. 116:289a
Autor:
Shuxiang Li, Guoyan Zheng
Publikováno v:
Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. Vol.20 Biomedical Engineering Towards the Year 2000 and Beyond (Cat. No.98CH36286).
A key issue for multi-modality medical image processing is to match images from different resources. This paper describes a multi-resolution method to perform elastic matching of two medical images. First, a topologically adaptable snake is used to e