E-Book, Englisch, Band 358, 594 Seiten, eBook
Oliva / Hassan / Mohamed Artificial Intelligence for COVID-19
1. Auflage 2021
ISBN: 978-3-030-69744-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
E-Book, Englisch, Band 358, 594 Seiten, eBook
Reihe: Studies in Systems, Decision and Control
ISBN: 978-3-030-69744-0
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Zielgruppe
Research
Autoren/Hrsg.
Weitere Infos & Material
Simulation of the relation between the number of COVID-19 death cases as a result of the number of handwashing facilities by using artificial intelligence.- Big data and big data analytics for COVID-19 epidemic.- Big data in COVID-19 assistance – Concepts, motivations, advances and applications in real-world.- Two Layer Hybrid Scheme of IMO and PSO for Optimization of Local Aligner: COVID-19 as a case study.- Factors affecting medical mask purchase decision in COVID-19 pandemic.- Classification approach for COVID-19 gene based on Harris hawks optimization.
