1 citations · 2 across the 3 of their papers we have counts for
3 papers
Balancing Performance and Fairness in Explainable AI for Anomaly Detection in Distributed Power Plants Monitoring
Corneille Niyonkuru, Marcellin Atemkeng, Gabin Maxime Nguegnang +1
Reliable anomaly detection in distributed power plant monitoring systems is essential for ensuring operational continuity and reducing maintenance costs, particularly in regions wh…
Predicting Fuel Consumption in Power Generation Plants using Machine Learning and Neural Networks
Gabin Maxime Nguegnang, Marcellin Atemkeng, Theophilus Ansah-Narh +2
The instability of power generation from national grids has led industries (e.g., telecommunication) to rely on plant generators to run their businesses. However, these secondary g…
Convergence of gradient descent for learning linear neural networks
Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege
We study the convergence properties of gradient descent for training deep linear neural networks, i.e., deep matrix factorizations, by extending a previous analysis for the related…