Gabin Maxime Nguegnang

About

Gabin Maxime Nguegnang is a Doctoral Research Assistant and Teaching Assistant at Ludwig Maximilian University of Munich, Germany. His research focuses on machine learning and neural networks, with recent articles addressing the convergence of gradient descent for linear neural networks, predicting fuel consumption in power generation plants, and implementing anomaly detection in power generation facilities. He is committed to advancing the application of these technologies in energy sectors.