1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.RO2025
Enhanced Quantile Regression with Spiking Neural Networks for Long-Term System Health Prognostics
David J Poland
This paper presents a novel predictive maintenance framework centered on Enhanced Quantile Regression Neural Networks EQRNNs, for anticipating system failures in industrial robotic…
eess.SP2024★ 1 cited
Industrial Machines Health Prognosis using a Transformer-based Framework
David J Poland, Lemuel Puglisi, Daniele Ravi
This article introduces Transformer Quantile Regression Neural Networks (TQRNNs), a novel data-driven solution for real-time machine failure prediction in manufacturing contexts. O…