Exploring Susceptible-Infectious-Recovered (Sir) Model for Covid-19 Investigation
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Exploring Susceptible-Infectious-Recovered (Sir) Model for Covid-19 Investigation

Exploring Susceptible-Infectious-Recovered (Sir) Model for Covid-19 Investigation


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About the Book

Chapter 1. Introduction.- Chapter 2. Epidemic studies and mathematical set up of SIR model.- Chapter 3. Understanding and analysing the spread pattern of Covid-19.- Chapter 4. SIR model based experimental investigations over Covid-19.- Chapter 5. Result analysis of SIR based Covid-19 Model.- Chapter 6. Exploring Covid-19 second wave dynamics using SIR epidemic model.- Chapter 7. Conclusions and future scope.

About the Author:

Mr. Rahul Saxena is currently working as Assistant Professor in the Department of Information technology, Manipal University Jaipur, since 2015, and pursuing Ph.D. from Malaviya National Institute of Technology, Jaipur, since 2019. He completed his Masters from Manipal University Jaipur in the year 2015. He has been awarded with Gold Medal for Excellence in Education in Masters. He completed his B.E. from Birla Institute of Technology, Mesra, in year 2013. His areas of research and interest include social networks analysis, machine learning, graph algorithms, parallel processing, etc. He has several conference, journal articles, and book chapters published in Springer, IEEE, etc. in the related domains of research. Apart from this, he is an active review member in many Scopus indexed journals of Springer, Elsevier, and has served as organizing committee member in various international conferences of IEEE, Springer, in various capacities like Convener, Session chair, TPC, etc.


Dr. Mahipal Jadeja received his Ph.D. degree from Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), India, in 2018. He currently works at Malaviya National Institute of Technology (MNIT Jaipur) as an assistant professor. His research interests include theoretical computer science, graph theory, algorithms, social network analysis, and graph neural networks. He has published several journal articles and book chapters in these domains. His research work is presented at reputed international conferences including GSB-SIGIR 2015 (Chile), WAAC 2016 (Japan), and SCAI-ICTIR 2017 (Netherlands). Apart from this, he is an active reviewer for many SCI/Scopus indexed journals. He has served as a TPC member for many conferences including AISE 2020 (Springer international conference).


Dr. Vikrant Bhateja is Associate Professor in the Department of Electronics and Communication Engineering (ECE), Shri Ramswaroop Memorial College of Engineering and Management (SRMCEM), Lucknow (Affiliated to AKTU), and also Dean (Academics) in the same college. He is doctorate in ECE (Bio-Medical Imaging) with a total academic teaching experience of 19 years with around 180 publications in reputed international conferences, journals, and online book chapter contributions; out of which 31 papers are published in SCIE indexed high impact factored journals. Among the international conference publications, four papers have received "Best Paper Award." Among the SCIE publications, one paper published in Review of Scientific Instruments (RSI) Journal (under American International Publishers) has been selected as "Editor Choice Paper of the Issue" in 2016. He has been instrumental in chairing/co-chairing around 25 international conferences in India and abroad as Publication/TPC chair and edited 45 book volumes from Springer-Nature as a corresponding/co-editor/author on date. He has delivered nearly 20 keynotes, invited talks in international conferences, ATAL, TEQIP, and other AICTE sponsored FDPs and STTPs. He is Editor-in-Chief of IGI Global International Journal of Natural Computing and Research (IJNCR) an ACM and DBLP indexed journal since 2017. He has guest edited special issues in reputed SCIE indexed journals under Springer-Nature and Elsevier. He is Senior Member of IEEE and Life Member of CSI.


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Product Details
  • ISBN-13: 9789811941740
  • Publisher: Springer Nature Singapore
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Weight: 159 gr
  • ISBN-10: 9811941742
  • Publisher Date: 03 Sep 2022
  • Height: 234 mm
  • No of Pages: 53
  • Spine Width: 4 mm
  • Width: 156 mm


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