This program is an implementation of Convolutional Deep Belief Networks. In this code, the binary and Gaussian visable types are both supported. In addition, CUDA acceleration is also included. We ...
He built interfaces that allowed engineers, scientists and everyday people to solve difficult problems without having to ...
In this study, the convolution neural network (CNN) and Long-Short-term Memory network (LSTM) are combined to make a new integrated model called CNN-LSTM to predict the hourly Qflow (short-term) at ...
All resulting images and pre-trained models are available in the provided links. 11/26/2024 Code for real haze and haze4k are released. 07/22/2024 We release the code for dehazing (ITS/OTS), desnowing ...
Abstract: In this article, we propose a framework for contactless human-computer interaction (HCI) using novel tracking techniques based on deep learning-based super-resolution and tracking algorithms ...
The mechanical behavior of viscoelastic materials is influenced, among other factors, by parameters like time and temperature. The present paper proposes a methodology for a thermorheologically and ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results