This project explores the use of a Long Short-Term Memory (LSTM) neural network to reconstruct 3D models from a sequence of images taken from different viewpoints. The input to the network is a set of ...

The suggested framework used the Deep ConvBi-LSTM model for prediction, and the remora optimization algorithm (ROA) developed and maximized a score function to extract the best 2D layout from the ...

A key step in affective computing and interaction between humans and computers is speech emotion recognition (SER). Deep learning architectures have demonstrated promising performance in a variety of ...