Udit Satija

Convolutional Neural Network,Deep Learning,Neural Network,Breath Sounds,Discrete Fourier Transform,Short-time Fourier Transform,Machine Learning Classifiers,Mel-frequency Cepstral Coefficients,Classification Performance,Input Tensor,K-nearest Neighbor,Support Vector Machine,Unmanned Aerial Vehicles,Additive Noise,Binary Classification,Classification Accuracy,Confusion Matrix,Deep Belief Network,Performance Metrics,Process Length,Residual Block,Time Domain,Baseline Wander,Binary Phase Shift Keying,Carrier Frequency,Chronic Obstructive Pulmonary Disease,Convolutional Layers,Convolutional Neural Network Architecture,Convolutional Neural Network Model,Deep Learning Models,Dense Layer,Empirical Mode Decomposition,Fast Fourier Transform,Internet Of Things,Major Stages,Orthogonal Frequency Division Multiplexing,Pulmonary Function Tests,Quadrature Phase Shift Keying,Sound Detection,Upper Respiratory Tract Infections,Artificial Neural Network,Atopic Asthma,Auscultation,Average Accuracy,Batch Normalization,Binary Shift,Carrier Frequency Offset,Carrier Frequency Offset Estimation,Computational Complexity,Convolutional Block,