Young, T. , Guymon, J. , Pankow, M. and Ngaile, G. (2026) A Material Removal Prediction Framework for Ball EEM Polishing in ...
This industry-collaborative PhD project offers the opportunity to work at the intersection of machine learning, structural engineering and renewable energy to develop innovative and impactful ...
For women over 50, building muscle is one of the most powerful ways to support longevity, optimise hormones and stay strong in everyday life. As we age, we naturally lose muscle – a process known as ...
ABSTRACT: This paper investigates the combination of the sliding mode control (SMC) and standard extended state observer (SESO) methods for estimating the states of a Photovoltaic system associated ...
This project was developed as part of my Master's programm at Heilbronn University. The goal is to classify different oil samples (e.g. olive oil, sunflower oil) based on their fluorescence and ...
Abstract: A direct phase model of synchronous machines implemented in MATLAB/SIMULINK is presented. The effects of the machine saturation have been included. Simulation studies arc performed under ...
This toolbox offers 8 machine learning methods including KNN, SVM, DA, DT, and etc., which are simpler and easy to implement. Recognize traffic sign using Histogram of Oriented Gradients (HOG) and ...