Results 101 to 110 of about 4,260,860 (287)
Australian Journal of Social Issues, EarlyView.ABSTRACT Generative Artificial Intelligence (GenAI) tools such as ChatGPT are rapidly entering workplaces, yet their use in frontline human services remains largely undocumented and weakly regulated. Drawing on an investigation into a child protection worker's informal use of ChatGPT, this article provides insight into how GenAI is already shaping ...
Joel Robert McGregor +3 more
wiley +1 more source
Heart Sound Classification Using Deep Structured Features
2016 Computing in Cardiology Conference (CinC), 2016 We present a novel machine learning-based method for heart sound classification which we submitted to the PhysioNet/CinC Challenge 2016. Our method relies on a robust feature representation — generated by a wavelet-based deep convolutional neural network (CNN) — of each cardiac cycle in the test recording, and support vector machine classification.
Michael Tschannen +4 more
openaire +2 more sources
Associated Students of the University of Puget Sound Senate Minutes 1997-1998 [PDF]
, 1997 Meeting minutes of the Associated Students of the University of Puget Sound from 09/1997 - 04/1998.
Associated Students of the University of Puget Sound (ASUPS)
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Two‐Dimensional van der Waals Antiferromagnets: Fabrication, Probes, Control, and Applications
Advanced Physics Research, EarlyView.Two‐dimensional van der Waals antiferromagnets are emerging as versatile platforms for spintronic, optoelectronic, and quantum devices. This review summarizes recent progress in their fabrication, magnetic characterization, fields, interfacial engineering, chemical modification, and representative applications.
Huangyu Wu +10 more
wiley +1 more source
Classification of Heart Sound Signals Based on AR Model
2016 Computing in Cardiology Conference (CinC), 2016 Heart sounds reflect information of the mechanical contraction of the heart in both of the physiological and pathological conditions. It is important to develop novel numerical algorithms to characterize the features of the heart sound as a helpful diagnostic tool of cardiovascular diseases.
Runnan He +5 more
openaire +2 more sources
Classification of heart sound signals for the detection of heart diseases
, 2012 This paper proposed the classification of heart sound signals for the detection of heart diseases. The heart sound signals were acquired from pediatric patients of National Heart Institute, Kuala Lumpur.
Mohamad Ezreen Haikal bin Mahat
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Associated Students of the University of Puget Sound Senate Minutes 2006-2007 [PDF]
, 2007 Meeting minutes of the Associated Students of the University of Puget Sound from 01/2007 - 04/2007.
Associated Students of the University of Puget Sound (ASUPS)
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Redescription of the Triassic cynodont Cistecynodon parvus and reassessment of its phylogeny
The Anatomical Record, EarlyView.Abstract Cynodontia is an important subclade of Therapsida that first occurred in the late Permian. It includes extinct subclades which are the non‐mammaliaform cynodonts and Mammaliaformes, with the latter ultimately giving rise to crown mammals. The systematics of non‐mammaliaform cynodonts has been extensively studied and is relatively well‐resolved,
Erin S. Lund +4 more
wiley +1 more source
PCGmix: A Data-Augmentation Method for Heart-Sound Classification
IEEE Journal of Biomedical and Health InformaticsCardiovascular diseases (CVDs) are a leading cause of mortality worldwide, responsible for 32% of all deaths, with the annual death toll projected to reach 23.3 million by 2030. The early identification of individuals at high risk of CVD is crucial for the effectiveness of preventive strategies.
David Susic, Anton Gradisek, Matjaz Gams
openaire +3 more sources
Associated Students of the University of Puget Sound Senate Minutes 2009-2010 [PDF]
, 2009 Meeting minutes of the Associated Students of the University of Puget Sound from 09/2009 - 04/2010.
Associated Students of the University of Puget Sound (ASUPS)
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