TI's TMS320F28P550SJ MCU with an integrated neural processing unit is designed to run CNN models to help reduce latency and ...

Specifically, the encoder compresses high-dimensional monitoring data ... Figure 5. Model architecture diagram of the deep convolutional autoencoder. The input to the model is a 9 × 24 matrix, where 9 ...

Endogenous intracellular allosteric modulators of GPCRs remain largely unexplored, with limited binding and phenotype data available. This gap arises from the lack of robust computational methods for ...

This is a potentially valuable modeling study on sequence generation in the hippocampus in a variety of behavioral contexts. While the scope of the model is ambitious, its presentation is incomplete ...

In this paper, we propose a technique for the calculation of the transfer function of convolutional block codes, both punctured and nonpunctured. The novelty of our approach lies in the augmentation ...

In this paper, we summarize the common protein sequence coding methods and propose a novel multiple-channel encoding, especially for convolutional neural networks (CNN). The proposed encoding consists ...