IEEE

Automatic Modulation Classification Using Convolutional Neural Network with Batch Normalization: A Novel Approach

Abstract: In recent times, Deep Neural Network (DNN) has drawn a lot of interest due to its exceptional performance in identifying complex structured data. In this paper, the automatic classification ...
IEEE

Using fMRI Time Series and Functional Connectivity for Autism Classification: Integrating Mamba and KAN in Domain-Adversarial Neural Networks

Abstract: Domain differences in fMRI analysis often cause biases that negatively affect Autism classification. To address this, we propose a novel pipeline leveraging a Domain Adversarial Neural ...