Titlebook: Applied Computing; Second Asian Applied Suresh Manandhar,Jim Austin,Asoke K. Talukder Conference proceedings 2004 Springer-Verlag Berlin He

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ECG Arrhythmia Analysis by Multicategory Support Vector Machineementing MC-SVM techniques one-versus-one, DAGSVM was found to be the most suitable algorithm in this domain. The overall accuracy of classification of the proposed method is 98.50%. This system is flexible, and implements a prototype graphical user interface (GUI) based on MATLAB. The results shown

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Engineering Interrelated Electricity Markets features present in horizontal and vertical profiles of the chest X ray. Once cardiac outline is obtained it is straightforward to obtain measurements characterizing the shape of the heart. Volume of the heart is computed from various features obtained from pa and lateral chest radiograph. The meas

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Contributions to Management Science an empirical evaluation of a variant of this method shows that the progressive boosting can significantly reduce the error rate of decision tree learning. On average this is more accurate than bagging and boosting.

DEVIL

Yuangui Lei,Enrico Motta,John Dominguecond approach, arrhythmia information is represented in terms of wavelet packet (WP) coefficients. In addition to the information about RR interval, QRS duration, amplitude of R-peak and a set of DWT/WP coefficients are selected from the wavelet decomposition. Multilayer feedforward ANNs employ erro

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https://doi.org/10.1007/978-3-319-90707-9ementing MC-SVM techniques one-versus-one, DAGSVM was found to be the most suitable algorithm in this domain. The overall accuracy of classification of the proposed method is 98.50%. This system is flexible, and implements a prototype graphical user interface (GUI) based on MATLAB. The results shown

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Lecture Notes in Computer Scienceltimodal functions and compare these with previously published work. The algorithm without any . diversity-preserving operator is found to produce diverse sampling of the Pareto-front with significantly lower computational effort.

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ADAGE

Tax Effects on Engineering Investmentsd Annealing is used as an optimized search technique in locating the top-. relevant webpages, while Genetic Algorithms helps in faster convergence via parallelism. Simulations were conducted on real datasets and the results indicate that . outperforms the existing algorithms.