Frontiers

Predicting shear strength of quartzite using portable index tests: a machine learning approach

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 ...
SciELO

Peak Ground Acceleration Models Predictions Utilizing Two Metaheuristic Optimization Techniques

Peak ground acceleration (PGA) is frequently used to describe ground motions accurately to defined the zone is critical for structural engineering design. This study developed a novel models for ...
GitHub

TfELM : Extreme Learning Machines Framework with Python and TensorFlow

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 ...
studentsunionucl

MATLAB Coding Workshop

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 ...
IEEE

Enhancing Voltage Regulation in Synchronous Generators: A Novel Approach With Fractional-Order PID Controllers and Wound Healing Algorithm

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 ...
Nature

EEG-based optimization of eye state classification using modified-BER metaheuristic algorithm

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 ...
GitHub

differential-evolution-algorithm

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

Applications of nature-inspired metaheuristic algorithms for tackling optimization problems across disciplines

Nature-inspired metaheuristic algorithms are important components of artificial intelligence, and are increasingly used across disciplines to tackle various types of challenging optimization problems.
C&EN

Comparative Study of Soft Computing and Metaheuristic Models in Developing Reduced Exhaust Emission Characteristics for Diesel Engine Fueled with Various Blends of Biodiesel ...

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

COST 231-Hata Propagation Model Optimization in 1800 MHz Band Based on Magnetic Optimization Algorithm: Application to the City of Limbé ()

1 Department of Electrical and Electronic Engineering, College of Technology, University of Buea, Buea, Cameroon. 2 Department of Electrical and Telecommunications Engineering, National Advanced ...
IEEE

Improved Metaheuristic Algorithms for Optimal Parameters Selection of Proton Exchange Membrane Fuel Cells: A Comparative Study

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 ...