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Credit data,the data that describes the attributes of customer credit collected by enterprises or institutions,which con......
基于三维荧光光谱法,以含有不同类型润滑油、机油、柴油、汽油的土壤样品为研究对象,分别提取不同土壤样品的三维荧光光谱,然后计......
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Clustering of Risk Behaviors and their Social Determinants among Primary School Learners in Beijing,
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For quality control of buckwheat, fingerprint-efficacy study of buckwheat was carried out in this work. 2,2′-Bipyridyl,......
The theory of complex networks was used to classify public transport networks into public transportation route networks,......
Personalized service systems are an effective way to help users obtain recommendations for unseen items, within the enor......
The increased use of platinum group elements (PGE) as automobile catalysts has led to concern over potential environment......
To design a compact erbium-doped fiber laser, a high-concentration erbium-doped fiber(EDF) is needed. However, increasin......
Increased globalization,as well as the ability to have virtual supply chain partners,has had numerous effects on supply ......
Based on the gas-liquid two-phase mixture transportation test,the k-ε-Ap turbulence model was applied to simulate the t......
In this paper, form vulnerability theory was applied to the analysis of the failure mechanisms of single-layer latticed ......
We investigate the dynamics of pedestrian counter flow by using a multi-grid topological pedestrian counter flow model.I......
阜阳市局 ￡4a 局长——_MINtkMMtgj’＃lnH＄B——q.M——D收束志不他只邀狲位J则【科校为先导推动地租工作.B为广为戳民U用凶盼引眯B.......
阜阳市局 ￡4a 局长——_MINtkMMtgj’＃lnH＄B——q.M——D收束志不他只邀狲位J则【科校为先导推动地租工作.B为广为戳民U用凶盼引眯B.......
阜阳市局 ￡4a 局长——_MINtkMMtgj’＃lnH＄B——q.M——D收束志不他只邀狲位J则【科校为先导推动地租工作.B为广为戳民U用凶盼引眯B.......
本文主要论述了当代美国医院营销的现状及发展趋势。强调医疗服务也应该有品牌意识;在一个完整的社会,医疗服务也应该讲协作。为了......
The two important features of self-organizing maps (SOM), topological preservation and easy visualization, give it great......
The economies of China-Japan-Korea(CJK) are complementary, with their proximity resulting in the three countries having ......
Density based clustering algorithms (DBCLAs)rely on the notion of density to identify clusters of arbitrary shapes,sizes......
An unsupervised pattern recognition methodology based on factor analysis and a genetic-DBSCAN algori
Structural Health Monitoring (SHM) suggests the use of machine learning algorithms with the aim of understanding specifi......
Clustering is one of the unsupervised learning prob-lems.It is a procedure which partitions data objects into groups.Man......
When range high-resolution radar is applied to target recognition,it is quite possible for the high-resolution range pro......
Image segmentation, as a basic building block for many high-level image analysis problems, has attracted many research a......
Graph convolution networks are extremely efficient on the graph-structure data, which both consider the graph and featur......
Bofill et al. discussed blind source separation (BSS) of sparse signals in the case of two sensors. However, as Bofill e......
Clustering and classification of energy meter data: A comparison analysis of data from individual ho
The transition towards a more sustainable environment requires the development of new control systems on the demand side......
Clustering and Resource Allocation Strategy for D2D Multicast Networks with Machine Learning Approac
In this paper, the clustering and resource allocation problem in device-to-device (D2D) multi-cast transmission underlay......
随着风电装机容量的增加,对电网的风电接纳能力提出严峻挑战,对含风电场的电力系统规划和运行提出了更高的要求。电力系统的中长期......
Aim at the underdetermined convolutive mixture model,a blind speech source separation method based on nonlinear time-fre......
Blind separation of sparse sources (BSSS) is discussed. The BSSS method based on the conventional K-means clustering is ......
利用AFLP技术对12个梭罗草(Kengyilia thoroldiana)居群和4个近缘草种居群进行遗传多样性研究,分析梭罗草居群的遗传多样性,探讨不......
针对电子侦察中PSK信号的载频估计问题,提出一种低信噪比下载频估计新方法。该方法将PSK信号划分为等长度的交叠区间,提取各个区间......
Placement of unmanned aerial vehicles as communication relays in two-tiered multi-agent system: clus
The network performance and the unmanned aerial vehicle (UAV) number are important objectives when UAVs are placed as co......
,Efficient parallel implementation of a density peaks clustering algorithm on graphics processing un
The density peak (DP) algorithm has been widely used in scientific research due to its novel and effective peak density-......
For accurate and stable haptic rendering, collision detection for interactive haptic applications has to be done by fill......
Spectral clustering is one of the most popular and important clustering methods in patte recognition,machine leaing,and ......
Fuzzy clustering has been used widely in pattern recognition, image processing, and data analysis. An improved fuzzy clu......
In the study, chemical compositions of 48 fragments of ancient ceramics excavated in 4 archaeological kiln sites which w......
In this article,a clustering method based on genetic algorithm(GA)for telecommunication customer subdivision is presente......
Assessing machine’s performance through comparing the same or similar machines is important to implement intelligent ma......
In recent years, the growing volume of data in numerous clustering tasks has greatly boosted the existing clustering alg......
Location-aware technology spawns numerous unforeseen pervasive applications in a wide range of living,production, commen......
To solve the multi-class fault diagnosis tasks, decision tree support vector machine (DTSVM), which combines SVM and dec......
In order to high reality and efficiency,the technique of motion capture (MoCap) has been widely used in the field of com......
Nowadays, most positioning sys-tems carry out locational calculation based on the accurate location information of some ......
The study of the critical behavior is important for classifying different configuration states.Recently,machine learning......
During the past two decades, the exhibition industry in China has been developing rapidly and has become an important pa......
To address the stability of solar thermal power generation system which is characterized by the presence of random and s......
