While nature has evolved enzymes to carry out a vast array of chemical transformations, selecting the ideal protein to initiate an enzyme engineering campaign often presents a significant challenge, ...

Understanding these dynamic mechanisms is crucial for enhancing the effectiveness of digital health communication and optimizing crisis response strategies. Objective: We analyzed how cultural and ...

Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An ...

Same as traditional autoencoders, VAE architecture has two parts: an encoder and a decoder. Traditional AE models map inputs into a latent-space vector and reconstruct the output from this vector. VAE ...

Abstract: Although the deep network has rich semantic expression ability, the details of the source image will inevitably be lost due to the increase of model depth. Thus, how to introduce the image ...

w3stringsx is able to work with the regular form of the CSV file. It is however also capable of reading non-standard data format, which is explained later in this document. Put the encoder in the same ...

We investigate the latent feature space of a pre-trained StyleGAN and discover some excellent spatial transformation properties. Based on the observation, we propose a novel unified framework based on ...

1 School of Mathematical Sciences, Guizhou Normal University, Guiyang, China. 2 School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China. With the rapid development of deep ...

Abstract: Existing facial expression recognition (FER) methods train encoders with different large-scale training data for specific FER applications. In this paper, we propose a new task in this field ...