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20242026
most citedIndustrial Machines Health Prognosis using a Transformer-based Framework

1 citations · 1 across the 5 of their papers we have counts for

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eess.SP2025

Boosted Enhanced Quantile Regression Neural Networks with Spatiotemporal Permutation Entropy for Complex System Prognostics

David J Poland

This paper presents an integrative prognostic framework that combines Spatiotemporal Permutation Entropy (STPE), Boosted Enhanced Quantile Regression Neural Networks (B-EQRNNs), Ga…

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…