Sustainability Measures for COVID-19 Pandemic - Couverture souple

Couverture souple

ISBN 10 : 9811632294 ISBN 13 : 9789811632297

Editeur : Springer, 2022

Synopsis

Section-1

Applications and Algorithms for Sustainability

Chapter 1: Artificial Intelligence and Machine Learning for handling pandemic challenges

Chapter 2: Blockchain & Mathematical Models for handling pandemic challenges

Chapter 3: Internet of Things & Web Services for handling pandemic challenges

Chapter 4: Cloud-based framework for social media analysis

Section-2

Monitoring & Analysis of Pandemic Situation for Sustainability

Chapter 5: Applying Pattern recognition in epidemic risk analysis

Chapter 6: Predicting the risk of infection and treatment outcomes

Chapter 7: Social challenges and consequences of COVID-19

Chapter 8: Mental health decline during corona virus outbreak

Section-3

Sustainability Measures in Current and Future Situation

Chapter 9: Predict Relapse impact of Recovered Covid-19 Patients

Chapter 10: Public Health Preparedness in the pandemic situations

Chapter 11: Economical Impact & measures of Corona Regime

Chapter 12: Future Impact & measures of Corona Virus influence on Environment.

Section-4

Case Study on Sustainable Solutions for COVID-19

Chapter 13: AI and Big Data for Neutralizing Antibody Discovery Chapter 14: Smart devices to fight against new coronavirus Chapter 15: Industry 4.0 technologies and their applications in fighting COVID-19 pandemic​

A propos du livre

À propos de l'auteur

Dr. Rashmi Agrawal is currently working as Professor in the Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. She is book series editor of Innovations in Big Data and Machine Learning, CRC Press, Taylor and Francis group, and Advances in Cybersecurity in Wiley. She has authored/co-authored many research papers in peer-reviewed national/international journals. Her research interests are in the area of sentiment analysis, educational data mining, Internet of things, brain-computer interface, and natural language processing.

Dr. Mamta Mittal obtained her Ph.D. from Thapar University Patiala in Computer Science and Engineering. Currently, she is working at G.B. PANT Government Engineering College, Okhla, New Delhi (under Government of NCT Delhi). Her research areas include data mining, big data, and machine learning.

Dr. Lalit Mohan Goyal obtained his Ph.D. from Jamia Millia Islamia, NewDelhi. He has 17 years of teaching experience in the area of theory of computation, parallel and random algorithms, distributed data mining, and cloud computing. Currently, he is working at J. C. Bose Univ. of Sc. & Tech, YMCA, Faridabad in the Department of Computer Engineering.

Détails de l'édition

• Éditeur: Springer
• Date d'édition: 2022
• Langue: anglais
• ISBN 10: 9811632294
• ISBN 13: 9789811632297
• Reliure: Broché
• Nombre de pages: 288
• Éditeur: Agrawal Rashmi, Mittal Mamta, Goyal Lalit Mohan
• Coordonnées du fabricant: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Allemagne