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Differences in Reporting of Adverse Drug Reactions Between Consumers and Healthcare Professionals

Drug safety, 2021-12, Vol.44 (12), p.1449-1449

2021

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Support Vector Machine Performance with Optimal Parameters Identification in Recognising Asphyxiated Infant Cry

International journal of engineering & technology (Dubai), 2018, Vol.7 (3.15), p.114

2018

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Recognition of human gait in oblique and frontal views using Kinect

Journal of fundamental and applied sciences, 2018-01, Vol.9 (4S), p.1

2018

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Performance of Combined Support Vector Machine and Principal Component Analysis in recognizing infant cry with asphyxia

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.6292-6295

2010

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Gait recognition using kinect and locally linear embedding

Journal of fundamental and applied sciences, 2018-01, Vol.9 (3S), p.755

2018

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Object detection using depth information from Kinect sensor

2015 IEEE 11th International Colloquium on Signal Processing & Its Applications (CSPA), 2015, p.160-163

2015

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Binary particle swarm optimization for feature selection in detection of infants with hypothyroidism

2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011, Vol.2011, p.2772-2775

2011

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Optimization of MFCC parameters using Particle Swarm Optimization for diagnosis of infant hypothyroidism using Multi- Layer Perceptron

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology, 2010-01, Vol.2010, p.1417-1420

2010

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Detection of asphyxia from infant cry using support vector machine and multilayer perceptron integrated with Orthogonal Least Square

Proceedings of 2012 IEEE-EMBS International Conference on Biomedical and Health Informatics, 2012, p.906-909

2012

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Orthogonal least square based support vector machine for the classification of infant cry with asphyxia

2010 3rd International Conference on Biomedical Engineering and Informatics, 2010, Vol.3, p.986-990

2010

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Optimized Support Vector Machine for classifying infant cries with asphyxia using Orthogonal Least Square

2010 International Conference on Computer Applications and Industrial Electronics, 2010, p.692-696

2010

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The effect of F-ratio in the classification of asphyxiated infant cries using multilayer perceptron Neural Network

2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2010, p.126-129

2010

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Detection of asphyxiated infant cry using support vector machine integrated with principal component analysis

2010 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2010, p.485-488

2010

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Investigation of Mel Frequency Cepstrum Coefficients parameters for classification of infant cries with hypothyroidism using MLP classifier

The 2010 International Joint Conference on Neural Networks (IJCNN), 2010, p.1-4

2010

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Particle Swarm Optimisation of Mel-frequency Cepstral Coefficients computation for the classification of asphyxiated infant cry

2010 3rd International Conference on Biomedical Engineering and Informatics, 2010, Vol.3, p.991-995

2010

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Performance of Principal Component Analysis and Orthogonal Least Square on Optimized Feature Set in Classifying Asphyxiated Infant Cry Using Support Vector Machine

Indonesian Journal of Electrical Engineering and Computer Science, 2018-01, Vol.9 (1), p.139

2018

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Mel-frequency cepstrum coefficient analysis of infant cry with hypothyroidism

2009 5th International Colloquium on Signal Processing & Its Applications, 2009, p.204-208

2009

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Iris localization using colour segmentation and circular Hough transform

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2012, p.784-788

2012

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Binary Particle Swarm Optimization for selection of features in the recognition of infants cries with asphyxia

2011 IEEE 7th International Colloquium on Signal Processing and its Applications, 2011, p.272-276

2011

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Parkinson's disease feature subset selection based on voice samples

2012 International Symposium on Computer Applications and Industrial Electronics (ISCAIE), 2012, p.163-166

2012

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Orthogonal least square and optimized support vector machine with polynomial kernel for classifying asphyxiated infant cry

2011 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2011, p.104-108

2011

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Detection of asphyxia from infant cry by linear kernel support vector machine enhanced with features from orthogonal least square

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2011, p.341-345

2011

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Detection of infant hypothyroidism with mel frequency cepstrum analysis and multi-layer perceptron classification

2010 6th International Colloquium on Signal Processing & its Applications, 2010, p.1-5

2010

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Three-dimensional particle swam optimisation of Mel Frequency Cepstrum Coefficient computation and Multilayer Perceptron neural network for classifying asphyxiated infant cry

2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE), 2011, p.290-293

2011

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An orthogonal least square approach to select features of infant cry with asphyxia

2010 6th International Colloquium on Signal Processing & its Applications, 2010, p.1-4

2010

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Differences in Reporting of Adverse Drug Reactions Between Consumers and Healthcare Professionals

Support Vector Machine Performance with Optimal Parameters Identification in Recognising Asphyxiated Infant Cry

Recognition of human gait in oblique and frontal views using Kinect

Performance of Combined Support Vector Machine and Principal Component Analysis in recognizing infant cry with asphyxia

Gait recognition using kinect and locally linear embedding

Object detection using depth information from Kinect sensor

Binary particle swarm optimization for feature selection in detection of infants with hypothyroidism

Optimization of MFCC parameters using Particle Swarm Optimization for diagnosis of infant hypothyroidism using Multi- Layer Perceptron

Detection of asphyxia from infant cry using support vector machine and multilayer perceptron integrated with Orthogonal Least Square

Orthogonal least square based support vector machine for the classification of infant cry with asphyxia

Optimized Support Vector Machine for classifying infant cries with asphyxia using Orthogonal Least Square

The effect of F-ratio in the classification of asphyxiated infant cries using multilayer perceptron Neural Network

Detection of asphyxiated infant cry using support vector machine integrated with principal component analysis

Investigation of Mel Frequency Cepstrum Coefficients parameters for classification of infant cries with hypothyroidism using MLP classifier

Particle Swarm Optimisation of Mel-frequency Cepstral Coefficients computation for the classification of asphyxiated infant cry

Performance of Principal Component Analysis and Orthogonal Least Square on Optimized Feature Set in Classifying Asphyxiated Infant Cry Using Support Vector Machine

Mel-frequency cepstrum coefficient analysis of infant cry with hypothyroidism

Iris localization using colour segmentation and circular Hough transform

Binary Particle Swarm Optimization for selection of features in the recognition of infants cries with asphyxia

Parkinson's disease feature subset selection based on voice samples

Orthogonal least square and optimized support vector machine with polynomial kernel for classifying asphyxiated infant cry

Detection of asphyxia from infant cry by linear kernel support vector machine enhanced with features from orthogonal least square

Detection of infant hypothyroidism with mel frequency cepstrum analysis and multi-layer perceptron classification

Three-dimensional particle swam optimisation of Mel Frequency Cepstrum Coefficient computation and Multilayer Perceptron neural network for classifying asphyxiated infant cry

An orthogonal least square approach to select features of infant cry with asphyxia

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