IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification.
Dac-Nhuong LeVelmurugan Subbiah ParvathyDeepak GuptaAshish KhannaJoel J. P. C. RodriguesK. ShankarPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- support vector machine
- neural network
- svm classifier
- pattern recognition
- support vector machine svm
- feature vectors
- classification method
- learning vector quantization
- classification algorithm
- support vector
- multi layer perceptron
- fault diagnosis
- multi class
- pattern classification
- classification accuracy
- radial basis function
- high classification accuracy
- generalization ability
- training process
- feature selection
- back propagation
- multi class support vector machines
- binary decision tree
- training set
- machine learning
- decision trees
- artificial neural networks
- k nearest neighbor
- feature extraction
- management system
- image classification
- unsupervised learning
- decision boundary
- model selection
- breast cancer diagnosis
- gaussian kernel
- text classification
- fuzzy logic
- kernel methods
- feature space
- medical diagnosis
- multi class classification
- nearest neighbour
- svm classification
- training data
- neural network model
- supervised learning