Machine learning models were trained with all variables as inputs to classify patients likely to have favorable outcomes. For the deep neural network model, 3 hidden layers with 15 artificial neural ...

The proposed controller is able to guarantee a prescribed transient and steady state behavior for the position and the velocity tracking errors without utilizing either the robot dynamic model or any ...

Abstract: Learning Management Systems (LMSs ... Results indicated that a predictive model which combined convolutional neural networks and long short-term memory (CNN-LSTM) was the optimal method ...