Fast convolution algorithms with Python types. A module for performing repeated convolutions involving high-level Python objects (which includes large integers, rationals, SymPy terms, Sage objects, ...

A Python module to generate fast bilinear algorithms for different variants of convolution. We provide a simple function to generate Toom-Cook algorithms with either integer nodes (cheby=False) or ...

The present article proposed an algorithm of Deep Learning for blueberry (Vaccinium Corymbosum) classification based on their quality characteristics. The problematic is the high export demand of the ...

The convolution operation is a data-intensive algorithm that requires a lot of computing power. As convolutional neural networks become more complex, there are limitations to algorithmically ...

In out‐of‐hospital cardiac arrest, an algorithm within an automated external defibrillator is the major determinant to deliver defibrillation. This study developed and validated the performance of a ...