Kenneth Sundaraj

Also published under:K. Sundaraj

Affiliation

Centre for Telecommunication Research & Innovation, Fakulti Kejuruteraan Elektronik & Kejuruteraan Komputer, Universiti Teknikal Malaysia Melaka, Durian Tunggal, Malaysia

Topic

Breath Sounds,Convolutional Neural Network,Extreme Learning Machine,Gaussian Mixture Model,Neural Network,Recurrent Neural Network,Sound Detection,Abnormal Sounds,Breathing Cycle,Crackles,Deep Learning,Deep Learning Architectures,Deep Network,Deep Neural Network,Mel-frequency Cepstral Coefficients,Pulmonary Disease,Short-time Fourier Transform,Support Vector Machine,Audio Recordings,Convolutional Layers,Data Augmentation,Deep Neural Network Architecture,Deep Residual Network,F1 Score,Learning Algorithms,Pattern Classification,Pulmonary Pathology,ResNet-50 Architecture,ResNet-50 Network,Wheezing,Audio Data,Automatic System,Binary Classification,Chronic Cases,Chronic Obstructive Pulmonary Disease,Classification Of Conditions,Diagnosis Of Pulmonary Disease,Field Of Classification,Further Processing Of Data,Hand-crafted Feature Extraction,Healthy Cases,Image Augmentation,Image Classification,ImageNet,Lung Sound Classification,Machine Learning,Max-pooling Layer,Multi-label,Obstructive Pulmonary Disease,Pathological Classification,

Biography

Kenneth Sundaraj (M'09) is currently with the School of Mechatronics Engineering, Universiti Malaysia Perlis, Perlis, Malaysia. He is registered as a Professional Engineer with BEM (Ir), ECUK (CEng) & FEANI (EurIng) and is an active member of IEM (MY), and IET (UK). He has several research articles in referred journals. His current research interests include sports science, kinesiology and virtual reality.