IEEE

Robust Fault Classification of Three Phase Induction Motor Using GWO-SVM With Simulation and Hardware Validation

Abstract: This paper presents a comprehensive fault classification framework for three-phase Induction Motors (IMs) using a novel Grey Wolf Optimization-enhanced Support Vector Machine (GWO-SVM) ...
IEEE

Predictive Modeling of Idle Mode Capability for Energy Optimization in Heterogeneous Cellular and IoT Networks

This paper investigates the Idle Mode Capability (IMC) in heterogeneous cellular networks through a dual approach that combines Monte Carlo-based MATLAB simulations with supervised machine learning ...
Frontiers

Patient-specific air puff-induced loading using machine learning

Introduction: The air puff test is a contactless tonometry test used to measure the intraocular pressure and the cornea’s biomechanical properties. Limitations that most challenge the accuracy of the ...
Frontiers

Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization

Majority of modern techniques for creating and optimizing the geometry of medical devices are based on a combination of computer-aided designs and the utility of the finite element method This ...
C&EN

Machine Learning-Enabled Optimization of Interstitial Fluid Collection via a Sweeping Microneedle Design

Department of Chemical Engineering, Imperial College London, London SW7 2AZ, U.K. Boğaziçi Institute of Biomedical Engineering, Boğaziçi University, Çengelköy, Istanbul 34684, Turkey Department of ...
GitHub

Perfect prosthetic heart valve: generative design with machine learning, modeling, and optimization

This study proposes a novel method for designing prosthetic heart valves (PHVs) by combining machine learning (ML) with optimization algorithms. This approach aims to overcome the limitations of ...