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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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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Produktdetaljer

ISBN
9783031382031
Publisert
2023-07-30
Utgiver
Vendor
Springer International Publishing AG
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, 06
Språk
Product language
Engelsk
Format
Product format
Heftet