Susanta Kumar Rout

Sparsity,Alzheimer’s Disease,Alzheimer’s Disease Classification,Alzheimer’s Disease Neuroimaging Initiative,Angular Distance,Artificial Neural Network,Autoencoder,Azimuth Angle,Cause Of Alzheimer’s Disease,Class Imbalance,Clinical Dementia Rating,Compact Manifold,Computer-aided Diagnosis,Convolutional Layers,Convolutional Neural Network,Data Augmentation,Data Augmentation Methods,Deep Convolutional Neural Network,Deep Neural Network,Diagnosis Of Alzheimer’s Disease,Diffusion Tensor Imaging,Digital Architecture,Direction Of Arrival Estimation,Element Failure,Enhancing Alzheimer,Feed-forward Network,Fully-connected Layer,Functional Networks,Hidden Layer,Hidden Layer Output,Hidden Neurons,High Degree Of Freedom,Machine Learning Framework,Machine Learning Techniques,Magnetic Resonance Imaging,Magnetic Resonance Imaging Data,Magnetic Resonance Imaging Scans,Mild Cognitive Impairment,Mini-Mental State Examination,Minimum Spacing,Multi-label,Mutual Coupling,Mutual Coupling Effect,Neural Network,Numerical Examples,Physical Elements,Planar Array,Pooling Layer,Random Networks,Received Signal Vector,