PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection-Reference-Cited by-同舟云学术

PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection

Published:2023-06 Issue: Volume:122 Page:106130
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Abir Farhan Fuad^ORCID,Chowdhury Muhammad E.H.^ORCID,Tapotee Malisha Islam,Mushtak Adam^ORCID,Khandakar Amith^ORCID,Mahmud Sakib^ORCID,Hasan Anwarul^ORCID

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

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4. Real-time alerting system for COVID-19 and other stress events using wearable data;Alavi;Nature Med.,2022

5. A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices;Alyafei;Comput. Biol. Med.,2022

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