This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

A hybrid model combining LM, GA, and BP neural networks improves TCM's diagnostic accuracy for IPF, achieving 81.22% ...

Abstract: A dynamic programming algorithm is applied to the genetic algorithm feature selection program to reduce the training time. After each generation, an accuracy score of each genome in a ...

Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say over their algorithm in a new feature launching Wednesday called "Your ...

Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

This repository implements a genetic algorithm (GA) in Python3 programming language, using only Numpy and Joblib as additional libraries. It provides a basic StandardGA model as well as a more ...

Instagram is back with a new feature that will allow users to "tune" their algorithm to only display the content they prefer to see, which will be first made available to Reels. The feature is still ...

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...