Correlation matrix of all input data. Subsequently, this study used a cross-verification method (LOO-CV) to divide the data set. (Hastie, 2009). Leave a cross-validation is a special form of k-fold ...

Following the success of our coding workshop series, we are excited to bring back our MATLAB workshop this year! 🥳 This session is designed to be beginner-friendly, using biomedical engineering ...

A hybrid strategy is proposed to solve the problems of poor population diversity, insufficient convergence accuracy and susceptibility to local optimal values in the original Arctic Puffin ...

2D irregular shape bin-cutting with heterogenous bins using evolutionary metaheuristics, Particle Swarm Optimization (PSO) and Differential Evolution (DEGL). In python, using shapely.

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Abstract: The feature selection problem involves selecting a subset of relevant features to enhance the performance of machine learning models, crucial for achieving model accuracy. Its complexity ...

In this research article, we uphold the principles of the No Free Lunch theorem and employ it as a driving force to introduce an innovative game-based metaheuristic technique named Golf Optimization ...

Department of Mechanical Engineering, Al-Falah University, Faridabad121004, Haryana, India ...

The work of forecasting solar power is becoming more crucial with directives to regulate the quality of the power and increase the system’s reliability as photovoltaic (PV) sites are being integrated ...