Associated Students of the University of Puget Sound (ASUPS) Senate Minutes 2020-2021 [PDF]
Meeting minutes of the Associated Students of the University of Puget Sound from 09/2020 - 05/2021.
Associated Students of the University of Puget Sound (ASUPS)
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Explaining the decisions of anomalous sound detectors [PDF]
Deciding whether a sound is anomalous is accomplished by comparing it to a learnt distribution of inliers. Therefore, learning a distribution close to the true population of inliers is vital for anomalous sound detection (ASD).
Mai, KT +4 more
core +1 more source
Anomalous Sound Detection by Fusing Spectral Enhancement and Frequency-Gated Attention
Unsupervised anomalous sound detection aims to learn acoustic features solely from the operational sounds of normal equipment and identify potential anomalies based on these features.
Zhongqin Bi +3 more
doaj +1 more source
Detecting Aortic Valve Anomaly From Induced Murmurs: Insights From Computational Hemodynamic Models
Patients who receive transcatheter aortic valve replacement are at risk for leaflet thrombosis-related complications, and can benefit from continuous, longitudinal monitoring of the prosthesis.
Shantanu Bailoor +3 more
doaj +1 more source
Associated Students of the University of Puget Sound Senate Minutes 1991-1992 [PDF]
Meeting minutes of the Associated Students of the University of Puget Sound from 09/1991 - 04/1992.
Associated Students of the University of Puget Sound,
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Building machine‐readable vocabularies for materials science is slow, expert‐driven work. This study benchmarks 13 large language models on two of its first steps: finding candidate terms in engineering articles and deciding where they belong in a class hierarchy.
Thomas Bjarsch +3 more
wiley +1 more source
ASDNet: An Efficient Self-Supervised Convolutional Network for Anomalous Sound Detection
Anomalous Sound Detection (ASD) is crucial for ensuring industrial equipment safety and enhancing production efficiency. However, existing methods, while pursuing high detection accuracy, are often associated with high computational complexity, making ...
Dewei Kong +4 more
doaj +1 more source
Timbre Difference Capturing in Anomalous Sound Detection
This paper proposes a framework of explaining anomalous machine sounds in the context of anomalous sound detection~(ASD). While ASD has been extensively explored, identifying how anomalous sounds differ from normal sounds is also beneficial for machine condition monitoring.
Tomoya Nishida +4 more
openaire +3 more sources
Associated Students of the University of Puget Sound Senate Minutes 1998-1999 [PDF]
Meeting minutes of the Associated Students of the University of Puget Sound from 09/1998 - 04/1999.
Associated Students of the University of Puget Sound (ASUPS)
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Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara +8 more
wiley +1 more source

