Cyber-Physical Systems: AI and COVID-19, 1

Cyber-Physical Systems: AI and COVID-19, 1 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS). The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research community has implemented many machine learning and deep learning-based approaches with incremental datasets. However, finding more accurate identification and prediction methods are crucial at this juncture. Offers perspectives on the design, development and commissioning of intelligent applicationsProvides reviews on the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of COVID-19Puts forth insights on how future illnesses can be supported using intelligent corona virus monitoring techniques INDICE: Part I Intelligent Sensing and Applications  1. Notable Application for COVID-19 2. Medical Status Monitoring Application for COVID-19 3. Medication Intake Application for COVID-19 4. Challenges of Mobile Health Application for COVID-19 5. RFID Application for COVID-19 6. Smart policing and surveillance for COVID-19 7. Patient tracking, patient monitoring and hospital management 8. Smart-Phone based Tracking Systems for Patients of COVID-19 9. GIS and GPS System for monitoring Isolation and Quarantine Centers 10. Effective Record Maintenance Systems and Dashboard for COVID-19  11. Predictive and Forecasting Systems for COVID-19 12. Android-Based Telemedicine System for Patient-Monitoring for COVID-19 13. Body Sensor Networks: Challenges, Solutions, and Research Directions 14. Pervasive Health Monitoring Systems for COVID-19 15. Remote Detection and Prediction for COVID-19 16. Design and Deployment of a Mobile-Based Medical Alert System Part II: Interdisciplinary Cyber Physical Systems 17. Multi domain decision support system for COVID-19 18. Internet of Things for COVID-19 19. Social media analytics for COVID-19 20. Data analytics for analyzing disruption from the spread of COVID-19 21. Big-data methods for mitigating the impact of COVID-19  22. Artificial Intelligence/machine learning model for COVID-19 23. New datasets for analysis of COVID-19 24. Medical image analysis for COVID-19 25. Intelligent health informatics for COVID-19 26. CPS based solutions for detection, control and prediction of COVID-19 27. Development of robots and humanoids for patient care 28. CPS Integration systems tools for COVID-19 Part III Cyber-physical modelling and simulation 29. Identification techniques in modelling and simulation 30. Modelling and simulation of sensor-based autonomous systems for COVID-19 31. Modelling and simulation of intelligent interaction using robotic systems for COVID-19 32. Mathematical modeling and forecasting of epidemic spreading of COVID-19 33. Modelling and simulation of COVID-19 34. A stochastic mathematical modelling for COVID-19 35. Mathematical models of the spread and consequences of the COVID-19

• ISBN: 978-0-12-824557-6
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 320
• Fecha Publicación: 01/06/2021
• Nº Volúmenes: 1
• Idioma: Inglés