LSTM-Based 3D Model Reconstruction from Images 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 ...

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 ...

PRNet is a deep learning framework designed to predict Channelrhodopsin (ChR) functional properties by fusing sequence and structural information. Leveraging a Contrastive Ranking Strategy, 3D ...

Estimating room arrangement has become more and more significant in recent years due to its many uses. This method is very challenging because of the many factors that affect the room image, such as ...