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An NN Based Feature Analysis Model for Sleep ...
... integrated model ECG signal ...during sleep based on the signal feature ...the sleep apnea disease over the ECG signal ...driven analysis is applied with architectural are facts ... See full document
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GRAPHICAL REPRESENTATION OF TEXTUAL DATA USING TEXT CATEGORIZATION SYSTEM
... graph based model showed that it outperformed the traditional vector space ...graph based Chinese text ...centroid feature matrix was constructed by using nodes and edges, and this ... See full document
12
Human Gait Identification Based on Difference Image
... image based human gait identification method is ...gauss model based background estimation is used to segment frames of the sequence to obtain the silhouette images with less ...moving feature ... See full document
8
Predicting Relative Prominence in Noun Noun Compounds
... bined model (in Table 1) is substantially more pre- dictive than any of the individual ...different feature sets capture different correlations, and that perhaps each of the theories (on which the ... See full document
5
A New Cygnus Optimization Algorithm for Prediction Of Cardio Vascular Disease
... factor model to reconstruct the missing data from the medical ...The analysis shows that Neural Network performed improved outcome in predicting the heart disease with ...This analysis helps the ... See full document
5
Classification of Normal and Epileptic EEG Signals Using Simple Statistical Feature Extraction
... to model, EEG signal decomposition using discrete wavelet transform (DWT) After DWT decomposition, a statistical feature for epilepsy detection with k-Nearest Neighbor (k-NN) classifier used to ... See full document
7
Feature ranking and rank aggregation for automatic sleep stage classification: a comparative study
... individual feature selection ...on sleep stage classification. The Physionet Sleep-EDF Expanded Database was used to assess the impact of these methods on the classification accuracy of k-NN ... See full document
19
Implementation Of Fast And Real Urban Road Extraction And Semi Automation Using Nn-Sparsity Adaptive Multi Feature Technique
... Abstract: In this research high resolution urban images from satellite has been collected and gives the automatic road extraction and tracking solution. The satellite which are collected from database contains noise and ... See full document
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A Comparative Analysis of Neural Network Based Short Term Load Forecast Models for Anomalous Days Load Prediction
... forecast model for 24 hours ahead is ...regression analysis of NN training are used to measure the NN ...LM based forecast model outperform than BP NN model for ... See full document
6
ANN model for detection and identification of sleep stages
... the feature extraction technique, next step would be to categorize various sleep states (like Awake fullness versus sleep, or drowsy versus deep sleep, ...etc.).For sleep stage ... See full document
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1. A frgsnn hybrid feature selection combining frgs filter and gsnn wrapper
... hybrid model (FRGSNN) for data reduction combining fuzzy rough (FR) sets and an evolutionary genetic search algorithm (GS) is ...The feature selection (FS) is performed by fuzzy-rough and genetic algorithm ... See full document
8
Topic Spotting using Hierarchical Networks with Self Attention
... our model (HN-SA) outperforms traditional feature based topic spot- ting models and deep learning based document classification ...ing based document classification ...the model ... See full document
7
Symmetric Pattern Matching Analysis for English Coordinate Structures
... The model is based on a balance matching operation for two lists of the feature sets, which provides four effects: the reduction of analysis cost, the improvement of word disambiguation,[r] ... See full document
6
Real-time face recognition system using radial basis function neural networks
... Low Level Analysis ,..-- Feature-Based r-- Feature Analysis Approach .._ Active Shape Model Face Detection 1-- Linear Subspace r- Image-Based '-- Method Neural Network Approach - Statist[r] ... See full document
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Model Based Feature Extraction for Gait Analysis and Recognition
... a model-based method to extract moving joints via evidence gather- ing ...Spatial model templates for human motion are derived from the analysis of gait data collected from manual ... See full document
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A CREDIT SCORING PREDICTION MODEL BASED ON HARMONY SEARCH BASED 1-NN CLASSIFIER FEATURE SELECTION APPROACH
... risk analysis plays an important role in categorization of customers which allows the customers to be divided into two sets, good and ...classification model for a particular data ...a feature ... See full document
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Consistent performance measurement of a system to detect masses in mammograms based on blind feature extraction
... Methods: We tested our system seeking a measure of the guarantee of its consistent performance. The method is based on blind feature extraction by independent component analysis (ICA) and ... See full document
16
Robust and Efficient Segmentation of Blood Vessel in Retinal Images using Gray-Level Textures Features and Fuzzy SVM
... detection based on a NN for pixel classification. The essential feature vector is computed from preprocessed retinal images in the neighborhood of the pixel under ...2) feature extraction for ... See full document
10
Mapping of the Insomnia Severity Index and other sleep measures to EuroQol EQ-5D health state utilities
... of sleep during the previous ...of sleep dura- tion ...mean sleep durations ...as sleep quality improved, and increased ...next-day-sleepiness, sleep latency, and number of wake-up ... See full document
13
Feature Extraction from CAD Model for Milling Strategy Prediction
... systems. Feature extraction program was im plem ented in the M ATLAB integrated d e v e lo p m e n t en v iro n m e n ...strategy based on extracted ... See full document
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