Titlebook: Intelligent Data Analysis and Applications; Proceedings of the S Ajith Abraham,Xin Hua Jiang,Jeng-Shyang Pan Conference proceedings 2015 Sp

MAIZE

thalamus

overrule

arthroscopy

Sebastián Basterrech,Andrea Mesa,Ngoc-Tu Dinhrminanten eines gleichgewichtigen gesamtwirtschaftlichen Wachstums. Unter Einbeziehung der relevanten makroökonomischen Aggregate in ein System von Definitionsgleichungen, Bedingungsgleichungen und Funktionen zeigt sie auf, welche Voraussetzungen gegeben sein müssen, um ein gleichgewichtiges Wachstu

myriad

Nour E. Oweis,Suhail S. Owais,Waseem George,Mona G. Suliman,Václav Snášelrminanten eines gleichgewichtigen gesamtwirtschaftlichen Wachstums. Unter Einbeziehung der relevanten makroökonomischen Aggregate in ein System von Definitionsgleichungen, Bedingungsgleichungen und Funktionen zeigt sie auf, welche Voraussetzungen gegeben sein müssen, um ein gleichgewichtiges Wachstu

Commonwealth

Association-Rule-Based Random Walk Method for Personalized Tag Recommendationg personalized tags, recommender systems help users to integrate resource and complete tagging effectively. Graph based methods of tags recommending have been shown to provide high quality results such as RWR, FolkRank, PageRank, etc. However, data sparsity leads to sparseness of graphs limiting the

Agronomy

Motion Sequence Recognition with Multi-sensors Using Deep Convolutional Neural Networkseveral traditional machine learning models or their variants, such as Dynamic Time Warping, Hidden Markov Model or Support Vector Machine. Some of them could achieve a relatively high classification accuracy but with a time-consuming training process. Some other models are just the opposite. In thi

乳白光

Vibration Attenuation of the Electromechanical System by a Double Impact Elementamped by a double impact element. The model is constructed with four degrees of freedom in the mechanical oscillating part, three translational and one rotational. The system movement is reported by five mutually coupled second-order ordinary differential equations. There are the most important nonl

大方一点

Ear Feature Extraction Using a DWT-SIFT Hybridis paper we present a hypridised approach for ear biometric feature extraction named DWT-SIFT based on the combination of global and local approach named Wavelets and SIFT respectively. The proposed approach has been evaluated on two ear biometric databases, namely IIT Delhi and USTB 2. For performa

VERT

Automatic Fuzzy Classification System for Metabolic Types Detection solutions to weight reduction, it is desirable to group patients exhibiting similar characteristics. This contribution describes an automatic fuzzy classification system capable of dividing obese patients into groups of diverse metabolic types. Metabolic data were acquired through energometry tests