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1391989914 |
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|a International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities
|n (3rd :
|d 2022 :
|c Braga, Portugal)
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|a AI-assisted solutions for COVID-19 and biomedical applications in smart cities :
|b Third EAI International Conference, AISCOVID-19 2022, Braga, Portugal, November 16-18, 2022, Proceedings /
|c José Manuel Machado, Hugo Peixoto, editors.
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|a AISCOVID-19 2022.
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|a Cham :
|b Springer,
|c [2023]
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300 |
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|a 1 online resource (ix, 101 pages) :
|b illustrations (some color).
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|a text
|b txt
|2 rdacontent.
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|a computer
|b c
|2 rdamedia.
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|a online resource
|b cr
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|a Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,
|x 1867-822X ;
|v 485.
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504 |
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|a Includes bibliographical references and index.
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505 |
0 |
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|a COVID-19 Global Impact -- Not Necessarily Relaxed: How Work Interruptions affect Users' Perception of Stress in Remote Work Situations -- COVID-19 cases and their impact on global air traffic -- The Impact of contingency measures on the COVID-19 reproduction rate -- AI applied to COVID-19 -- Business Intelligence Platform for COVID-19 Monitoring: A Case Study -- First Clustering Analysis of COVID in Portugal -- Multichannel services for patient home-based care during COVID-19 -- Machine Learning In Healthcare -- Steps Towards Intelligent Diabetic Foot Ulcer Follow-up based on Deep Learning -- Recommendation of Medical Exams to Support Clinical Diagnosis based on Patient's Symptoms.
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|a This book constitutes the refereed post-conference proceedings of the Third International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities, AISCOVID-19 2022, held in November 2022 in Braga, Portugal. 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.
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|a Description based on online resource; title from digital title page (viewed on October 23, 2023).
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650 |
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|a Medical informatics
|v Congresses.
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|a Biomedical engineering
|v Congresses.
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650 |
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|a Artificial intelligence
|x Medical applications
|v Congresses.
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|a Smart cities
|v Congresses.
|
650 |
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|a COVID-19 (Disease)
|v Congresses.
|
650 |
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|a Médecine
|x Informatique
|v Congrès.
|
650 |
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6 |
|a Génie biomédical
|v Congrès.
|
650 |
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6 |
|a Intelligence artificielle en médecine
|v Congrès.
|
650 |
|
6 |
|a Villes intelligentes
|v Congrès.
|
650 |
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6 |
|a COVID-19
|v Congrès.
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655 |
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2 |
|a Congress.
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|a proceedings (reports)
|2 aat.
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|a Conference papers and proceedings.
|2 lcgft.
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|a Actes de congrès.
|2 rvmgf.
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|a Machado, José Manuel,
|e editor.
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1 |
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|a Peixoto, Hugo,
|d 1985-
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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|v 485.
|x 1867-822X.
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|a International Conference on AI-assisted Solutions for COVID-19 and Biometrical Applications in Smart Cities
|n (3rd :
|d 2022 :
|c Braga, Portugal)"
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