Abstract: Encoding and decoding of Reed-Muller codes have been a major research topic in coding and theoretical computer science communities. Despite of the fact that there have been numerous encoding ...

ABSTRACT: This study conducts a qualitative content analysis of the French magazine “Jeune Afrique”’s coverage of Ibrahim Traoré, the transitional president of Burkina Faso. Using framing theory, the ...

Support multiple variants alphabet and padding: It is possible to use this module in other methods/ways which not listed in here, however those methods/ways are not officially supported, and should ...

In the significantly advancing fields of neuroscience and Artificial Intelligence (AI), the goal of comprehending and modeling human cognition has resulted in the creation of sophisticated models that ...

This study presents a useful method for the extraction of behaviour-related activity from neural population recordings based on a specific deep learning architecture, a variational autoencoder.

This project is a web application that allows users to upload image files and convert them to Base64 format.

This study presents a useful method for the extraction of behaviour-related activity from neural population recordings based on a specific deep learning architecture - a variational autoencoder.

Base64 encoding is a common method to encode binary data into an ASCII string format, making it easier to transmit data over networks that only support text. This can include embedding image data in ...