Accurate analysis of (non-punctured) convolutional codes using the state diagram and transfer function has been well-established; but for punctured convolutional codes, approximation has been the ...

The code-to-tree server's goals are: Give LLMs the capability of accurately converting source code into AST (Abstract Syntax Tree), regardless of language. One standalone binary should be everything ...

Nested convolutional codes are a set of convolutional codes that is derived from a given generator matrix. The structural properties of nested convolutional codes and nested generator matrices are ...

This approach results in the generation of a class diagram; however, it lacks the requisite details pertaining to the recovery of the types of relationship between classes and stereotypes. In this ...

Experimental results demonstrate the superiority of the tree-structured ConvLSTM model for tree-structured image analysis compared with other alternatives. Additionally, we present a tree-structured ...

Such a bigram code may be tied to the use of convolutional architecture and/or supervised training, as one previous computational study failed to find coding for letter combinations in a deep ...

We trained a deep convolutional neural network of the ventral visual pathway, first to categorize pictures and then to recognize written words invariantly for case, font, and size.