| Description |
1 online resource (204 p.) |
| Contents |
Cover -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 1. Analysis of the Current, Past, and Future Evolution of COVID-19 -- 1.1 Introduction -- 1.2 An Overview of the Evolution of SARS-CoV-2 -- 1.3 An Overview of the Evolution of COVID-19 -- 1.4 Future Evolution of COVID-19 based on Fractal Models -- 1.5 Conclusion -- Conflicts of Interest -- References -- 2. A Fractal Viewpoint to Covid-19 Infection -- 2.1 Introduction -- 2.2 Fractal Model -- 2.3 Results and Discussion -- 2.4 Conclusions and Outlook for Further Investigations -- References |
|
3. Design of Covid-19 Fractal Antenna Array for 5G and mm-WAVE Wireless Application -- 3.1 Design of COVID-19 Antenna Array for Centimeter Wave Band -- 3.2 Antenna Fabrication and Measurements -- 3.3 Design of COVID-19 Antenna Array for Millimeter Wave Band -- 3.4 Conclusion -- References -- 4. Design of Fractal COVID-19 Microstrip Patch Antenna Array for Wireless Applications -- 4.1 Introduction and Preliminaries -- 4.2 Fractal Geometry -- 4.3 Antenna Configuration -- 4.4 Some of Related Formula -- 4.5 Results and Discussion -- 4.6 Antenna Array Design Using Miniaturized Patch Element |
|
4.7 Conclusion -- References -- 5. Fluctuation Analysis Through Multifractals for the Pathogenesis of SARS-CoV-2 aka nCoV-19 Community Spread in USA -- 5.1 Introduction -- 5.2 Dataset Collection -- 5.3 Multi-fractal Analysis -- 5.4 Hurst Rescaled R/S Analysis -- 5.5 Discrete Waveform Signal Analysis (DWS) -- 5.6 Results and Discussions -- 5.7 Conclusion -- References -- 6. Multifractal Detrended Fluctuation Analysis on COVID-19 Dynamics -- 6.1: Introduction -- 6.2: Mathematical Methods -- 6.3: Data Description -- 6.4: Results and Discussion -- 6.5: Conclusion -- References |
|
7. An Integrated Perspective of Fractal Time Series Analysis for Infected Cases of COVID-19 -- 7.1: Introduction -- 7.2: Methods -- 7.3: Clinical Data -- 7.4: Results and Discussion -- 7.5: Conclusion -- References -- 8. A Mathematical Model for COVID-19 Pandemic with the Impact of Economic Development -- 8.1 Introduction -- 8.2 Mathematical Model -- 8.3 Mathematical Analysis -- 8.4 Numerical Illustrations -- 8.5 Conclusion -- References -- 9. Growth Analysis of Covid-19 Cases Using Fractal Interpolation Functions -- 9.1 Introduction -- 9.2 Preliminaries -- 9.3 Methodology -- 9.4 Results |
|
9.5 Conclusion -- References -- 10. Classification of COVID-19 Time Series Through Hurst Exponent and Fractal Dimension -- 10.1 Introduction -- 10.2 Methodology -- 10.3 Data Description -- 10.4 Result and Discussion -- 10.5 Conclusion -- References -- 11. A Study on the Variants and Subvariants of a Solitary Virus -- 11.1 Introduction -- 11.2 Preliminaries -- 11.3 Analyzing Chaotic Characteristics of SARS Cov-2 Variants and Subvariants -- 11.4 Results and Discussion -- 11.5 Conclusion -- References -- 12. Mathematical Modelling of Multicellular Tumor Spheroid Growth Using Lambert Function |
| Notes |
Description based upon print version of record |
|
12.1 Introduction |
| Subject |
COVID-19 (Disease) -- Epidemiology -- Mathematical models
|
|
COVID-19 (Disease) -- Transmission -- Mathematical models
|
|
Fractals.
|
|
fractals.
|
|
Fractals
|
| Form |
Electronic book
|
| Author |
Gowrisankar, A
|
| ISBN |
9781003822592 |
|
1003822592 |
|
