A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...

Building owners and property managers will no longer be able to use algorithm-based software to artificially inflate New Yorkers’ rents as a result of a bill signed into law by Gov. Kathy Hochul on ...

We publish the best academic work (that's too often lost to peer reviews & the TA's desk) to the global tech community ...

Abstract: The development of new technologies and the increase of information handled by small devices has lead to a variety of new storage methods which heavily depend on compression algorithms.

Algorithm design and scientific discovery often demand a meticulous cycle of exploration, hypothesis testing, refinement, and validation. Traditionally, these processes rely heavily on expert ...

Abstract: The purpose of this paper is to explore how to construct a multi-criteria decision-making model using greedy algorithm and genetic algorithm to optimize the decision-making problem in the ...

This repository provides an implementation of a compression algorithm of this type, the Huffman algorithm. This algorithm is implemented in the Python programming language.

ASCII files can be compressed to smaller sizes by using variable length Huffman Coding. By analyzing the different probabilities of the various symbols that occur in a given file, we can build a ...