AI-assisted Solutions for COVID-19 and Biomedical Applications in Smart Cities, 1st ed. 2023 Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Series, Vol. 485
Coordonnateurs : Machado José Manuel, Peixoto Hugo
The 8 full papers of AISCOVID-19 2022 were carefully selected from 21 submissions and present a comprehensive and up-to-date look at the intersection of COVID-19, big data, machine learning, deep learning, and healthcare. The theme of AISCOVID-19 2022 was Healthcare effective and efficient Solutions for COVID-19 that can be achieved using Artificial Intelligence and Computer-Assisted paradigms.
Date de parution : 07-2023
Ouvrage de 101 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 63,29 €
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Mots-clés :
business intelligence; Informatics; artificial intelligence; clustering algorithmy; machine learning; medical informaticvs; openEHR; COVID-19; information management; information retgrieval; information systems; information technology; neural networks; computer networks; recommender systems