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Inter-area oscillations have been extensively studied in conventional power systems dominated by synchronous machines, as well as methods to mitigate them. Several publications have addressed Power Oscillation Damping (POD) controllers in grid-follow

Externí odkaz: http://arxiv.org/abs/2409.10726

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Enhanced Bellmunt risk score for survival prediction in urothelial carcinoma treated with immunotherapy

Autor: Ahmad Y. Abuhelwa, Ross A. McKinnon, Michael J. Sorich, Andrew Rowland, Joaquim Bellmunt, Ganessan Kichenadasse, Ashley M. Hopkins

Introduction : The discrimination performance of Bellmunt risk score for immune checkpoint inhibitor (ICI) therapy is largely unknown. This study aimed to validate and enhance discrimination of the Bellmunt score in patients with urothelial carcinoma

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5eb1a1e09775b2e351c91bcc84e28cea
https://hdl.handle.net/11541.2/29051

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Deep Learning-based Machine Condition Diagnosis using Short-time Fourier Transformation Variants

Autor: Piedad, Eduardo Jr, Mayordo, Zherish Galvin, Prieto-Araujo, Eduardo, Gomis-Bellmunt, Oriol

In motor condition diagnosis, electrical current signature serves as an alternative feature to vibration-based sensor data, which is a more expensive and invasive method. Machine learning (ML) techniques have been emerging in diagnosing motor conditi

Externí odkaz: http://arxiv.org/abs/2408.09649

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Exploring Wavelet Transformations for Deep Learning-based Machine Condition Diagnosis

Autor: Piedad, Eduardo Jr, Del Rosario, Christian Ainsley, Prieto-Araujo, Eduardo, Gomis-Bellmunt, Oriol

Deep learning (DL) strategies have recently been utilized to diagnose motor faults by simply analyzing motor phase current signals, offering a less costly and non-intrusive alternative to vibration sensors. This research transforms these time-series

Externí odkaz: http://arxiv.org/abs/2408.09644

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