With finals over and done with, I’ve been spending my extra free time doom-scrolling on Instagram Reels. Now that I have more time on my hands, I’ve noticed just how many additions Reels has had in ...

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 ...

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

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 ...

Introduction: Optimizing fracturing parameters under multi-factor, complex conditions remains challenging in low-permeability reservoirs. Methods: We extract stage-aware construction-curve features, ...

When the Mojo language first appeared, it was promoted as being the best of two worlds, bringing the ease of use and clear syntax of Python, along with the speed and memory safety of Rust. For some ...

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, ...

Department of Intelligent Energy and Industry, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea Department of Intelligent Energy and Industry, Chung-Ang University, 84 ...

Abstract: This paper deals with genetic algorithm implementation in Python. Genetic algorithm is a probabilistic search algorithm based on the mechanics of natural selection and natural genetics. In ...

Abstract: The genetic algorithm serves as an efficient global optimization search method for the reactive power management within power systems. To minimize active power losses and ensure that ...