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Intelligent Data Analysis for COVID-19 Pandemic

Intelligent Data Analysis for COVID-19 Pandemic (Paperback)

Siddhartha Bhattacharyya, Neeraj Kumar, Niranjanamurthy, M. (엮은이)
Springer
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Intelligent Data Analysis for COVID-19 Pandemic
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책 정보

· 제목 : Intelligent Data Analysis for COVID-19 Pandemic (Paperback) 
· 분류 : 외국도서 > 기술공학 > 기술공학 > 공학일반
· ISBN : 9789811615764
· 쪽수 : 370쪽
· 출판일 : 2022-06-24

목차

Chapter 1. Machine Learning Based Ensemble Approach for Predicting the Mortality Risk of Covid-19 Patients: A Case Study.- Chapter 2. The Role of Internet of Health Things (IoHTs) & Innovative Internet of  5G Medical Robotic Things (IIo-5GMRTs) in COVID-19 Global Health Risk Management and Logistics Planning.- Chapter 3. Battling COVID-19 with Process Model of Integrated Digital Technology: An Analysis of Qualitative Data.- Chapter 4. High-fidelity intelligence ventilator to help infect with Covid-19 based on artificial intelligence.- Chapter 5. Boon of Artificial Intelligence in Diagnosis of Covid-19.- Chapter 6. Artificial Intelligence and Big Data Solutions for COVID-19.- Chapter 7. Modeling the Transmition Dynamics of COVID-19 Virus Disease in Nigeria.- Chapter 8. Emerging Trends in Higher Education during Pandemic Covid-19: An impact study From West Bengal.- Chapter 9. COVID-19: Virology, Epidemiology, Diagnostics and Predictive modelling.- Chapter 10. Improved Estimation in Logistic Regression through Quadratic Bootstrap Approach: An Application in Indian Agricultural e-learning System during COVID-19 Pandemic.- Chapter 11. COVID-19 and Stock Markets: Deaths and Strict Policies.- Chapter 12. Artificial Intelligence Techniques in Medical Imaging for Detection of Corona Virus (COVID-19 / SARS-COV-2): A Brief Survey.- Chapter 13. A Travelling Disinfection-man Problem (TDP) for COVID-19: A Nonlinear Binary Constrained Gaining-Sharing knowledge-based Optimization Algorithm.- Chapter 14. COVID-19 Lock down Impact on Mental Health: A Cross-sectional Online Survey from Kerala, India.- Chapter 15. Analysis, Modelling and Prediction of COVID-19 Outbreaks using Machine Learning Algorithms.


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