Search results for: Elly Matul Imah
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Content-based image retrieval (CBIR) is any technology that helps to organize digital image archives by their visual content, with the rapid growth of image amount, the presence of image retrieval is very helpful for people now. Basically image retrieval is part of classification problem. Support Vector Machine (SVM) is one of technique that can solve classification problem well. In fact, SVM is a...
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Procedia Computer Science > 2015 > 59 > Complete > 221-229
Extreme Learning Machine (ELM) is one of the artificial neural network method that introduced by Huang, this method has very fast learning capability. ELM is designed for balance data. Common problems in real-life is imbalanced data problem. So, for imbalanced data problem needs special treatment, because characteristics of the imbalanced data can decrease the accuracy of the data classification....
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Electrocardiogram (ECG) plays an important role in monitoring and preventing heart attacks. In this paper, we propose a new method Adaptive Multilayer Generalized Learning Vector Quantization (AMGLVQ) that integrated feature extraction and classification for the automatic classification of heartbeats in an ECG signal. Since this task has specific characteristics such as, inconsistency optimization...
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In this paper we modified Fuzzy-Neuro Generalized Learning Vector Quantization for Arrhythmia heart beat detection. The original algorithm was used triangle membership function. In this research we propose another membership function is Pi membership function, the Pi membership functionis a product of sigmoid membership function and z membership function was adapted from twin sigmoid membership function...
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The electrocardiogram (ECG) plays an important role in monitoring and preventing heart attacks. In this paper, we propose and compare the use of Daubechies WT (Daubechies Wavelet Transformation), Kernel PCA (Principal Component Analysis), and PCA as feature extraction methods in improving arrhythmia signals classification. The Kernel PCA employs linear, polynomial, and Gaussian kernels. We examine...
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Distributed Traffic System Control System is a real-time adaptive traffic light system with traffic condition for minimize the probabilty of traffic congestion. So far, the research of Distributed Traffic Light Control System has been developed with Principle Component Analysis (PCA) as the recognition method to identify vehicle object. The recognizition can be optimized using classification system...
