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 ...
Abstract: Voltage regulation in automatic voltage regulator (AVR) systems has been one of the most challenging engineering problems owing to uncertain load conditions. One of the primary study topics ...
This article introduces the Modified Al-Biruni Earth Radius (MBER) algorithm, which seeks to improve the precision of categorizing eye states as either open (0) or closed (1). The evaluation of the ...
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 ...
Nature-inspired metaheuristic algorithms are important components of artificial intelligence, and are increasingly used across disciplines to tackle various types of challenging optimization problems.
1 Department of Electrical and Electronic Engineering, College of Technology, University of Buea, Buea, Cameroon. 2 Department of Electrical and Telecommunications Engineering, National Advanced ...
Abstract: As a new attempt to design a precise mathematical model for the proton exchange membrane fuel cell (PEMFC), in this paper, three recently-proposed well-established optimizers: horse herding ...
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 ...