Zobrazeno 1 - 10
of 180
pro vyhledávání: '"Lu, Han"'
Publikováno v:
IEEE Transactions on Medical Imaging. 40:3326-3336
Estimating effective connectivity from functional magnetic resonance imaging (fMRI) time series data has become a very hot topic in neuroinformatics and brain informatics. However, it is hard for the current methods to accurately estimate the effecti
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S9, Pp 1-15 (2021)
BMC Bioinformatics
BMC Bioinformatics
Background It is important to understand the composition of cell type and its proportion in intact tissues, as changes in certain cell types are the underlying cause of disease in humans. Although compositions of cell type and ratios can be obtained
Publikováno v:
Computer Communications. 173:14-20
In this study, we propose sparse auto-encoder combined with kernel for network attack detection for better network security. High-dimensional data seriously affects the accuracy and efficiency of network attack detection, leading to dimension disaste
Publikováno v:
Xibei Gongye Daxue Xuebao, Vol 39, Iss 2, Pp 414-422 (2021)
Most of the solutions to existing test selection problems are based on single-objective optimization algorithms and multi-signal models, which maybe lead to some problems such as rough index calculation and large solution set limitations. To solve th
Publikováno v:
Journal of Intelligent & Fuzzy Systems. :1-9
With the rapid development of China’s market economy, brand image is becoming more and more important for an enterprise to enhance its market competitiveness and occupy a favorable market share. However, the brand image of many established companie
Publikováno v:
Optimization Letters. 15:2053-2065
In this paper, we study the k-level facility location problem with outliers (k-LFLPWO), which is an extension of the well-known k-level facility location problem (k-LFLP). In the k-LFLPWO, we are given k facility location sets, a client location set
Publikováno v:
Procedia Computer Science. 183:139-144
Trends in capital markets are difficult to predict due to the complex linkages. Recent research has shifted from predicting single market trends to predicting multiple market co-movements. Based on the WTI oil price, Douglas stock index and Shenzhen
Publikováno v:
Journal of the Franklin Institute. 358:1635-1655
This paper proposes a new modus of fault estimation and isolation, which based on fault estimation filter using iterative leaning scheme combine with robust observer for descriptor linear parameter varying (D-LPV) systems with disturbance. According
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 18:147-151
Band selection is an effective method to reduce redundancy in a hyperspectral image (HSI) without compromising the original contents. Popular band selection methods usually use strong assumptions, such as linear or nonlinear assumptions with simple p
Publikováno v:
Procedia Computer Science. 183:145-151
One of the classical methods of clustering is kNN and it is a simple and widely used algorithm. But when it comes to the samples with unstructured and fuzzy values, it is not applicable enough course it is based on the Euclidean distance, which does