Search Results for author:
Found 2 papers, 1 papers with code
More complex encoder is not all you need
To address the gap in relevant research, we extend our focus beyond the encoder and introduce neU-Net (i. e., not complex encoder U-Net), which incorporates a novel Sub-pixel Convolution for upsampling to construct a powerful decoder.
Inferring Gene Regulatory Neural Networks for Bacterial Decision Making in Biofilms
These incoming external signals are then processed using a Gene Regulatory Network (GRN), exhibiting similarities to modern computing algorithms.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
