Sustainability Measures for COVID-19 Pandemic

TRAMA

This book focuses on sustainability issues post COVID-19 outbreak, discusses ways to restrict global spread of the pandemic, and also how to survive holistically in the environment. It also discusses the economic impacts on the world due to the coronavirus outbreak. There is a strong need for monitoring and analysis of pandemics for sustainability like epidemic risk analysis by using pattern recognition or the mental health challenges during an outbreak. This book presents ways to find solutions and gives insights to explore innovative methods and predictive modeling techniques, such that masses are prevented from pandemics.

SOMMARIO

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

AUTORE

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, New Delhi. 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.

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9789811632266
• Dimensioni: 235 x 155 mm Ø 600 gr
• Formato: Copertina rigida
• Illustration Notes: XIV, 274 p. 132 illus., 113 illus. in color.
• Pagine Arabe: 274
• Pagine Romane: xiv