IEEE

Advanced CNN-RNN Model Based Automatic Modulation Classification on Resource-Constrained End Devices

Abstract: In this paper, we propose a hybrid convolutional recurrent neural network (CNN-RNN) model to operate on resource-constrained end (RCE) devices for automatic modulation classification (AMC).
IEEE

Coronary Heart Disease Prediction Using CNN, RNN, LSTM and Attention DNN Model

Abstract: Coronary Heart Disease popularly referred to as CHD is one of the leading causes of death and illness across the global population making it imperative for the identification of an effective ...
IEEE

CNN-LSTM-Attention based Predictive Model for Thermal Error in CNC Machine Tool Spindles

Abstract: Aiming at the problem that most thermal error prediction models for machine tools adopt a single neural network architecture, which is difficult to ...