G S Mahapatra
Biographic Data
| ID | 6734802 |
|---|---|
| NAME | G S Mahapatra |
| GIVEN NAMES | G S |
| FAMILY NAME | Mahapatra |
| SIGNATURE | MAHAPATRA G S |
| AFFILIATIONS | Department of Mathematics National Institute of Technology Puducherry Karaikal Puducherry India |
| ORCID | 0000-0002-5225-0445 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Optimal control for dengue transmission based on a model with reinfection and treatment
The model divides the population into five sub-populations of humans and three vectors. Boundedness, non-negativity, and continuous dependence of solutions on initial data prove their well-posedness. An explicit expression of the basic reproduction number and stability analysis of equilibria offer insights into disease mitigation and persistence. The Disease-Free Equilibrium is globally stable when the basic reproduction number is below 1, while …
Decision through novel ranking of generalized symmetric pentagonal interval-valued fuzzy criteria for sustainable regional selection
Sustainable forest resources management model through Pythagorean fuzzy Merec–Marcos approach
A case study on the impact of green investment with a pentagonal fuzzy storage capacity of two green-warehouse inventory systems under two dispatching policies
Dynamical analysis of novel Covid ‐19 epidemic model with non‐monotonic incidence function
In this study, we developed and analyzed a mathematical model for explaining the transmission dynamics of COVID-19 in India. The proposed SI u I k R model is a modified version of the existing SIR model. Our model divides the infected class I of SIR model into two classes: I u (unknown infected class) and I k (known infected class). In addition, we consider R a recovered and reserved class, where susceptible people can hide them due to fear of th…
Dynamical analysis of novel Covid ‐19 epidemic model with non‐monotonic incidence function
In this study, we developed and analyzed a mathematical model for explaining the transmission dynamics of COVID-19 in India. The proposed SI u I k R model is a modified version of the existing SIR model. Our model divides the infected class I of SIR model into two classes: I u (unknown infected class) and I k (known infected class). In addition, we consider R a recovered and reserved class, where susceptible people can hide them due to fear of th…
Dynamical analysis of novel Covid ‐19 epidemic model with non‐monotonic incidence function
In this study, we developed and analyzed a mathematical model for explaining the transmission dynamics of COVID-19 in India. The proposed SI u I k R model is a modified version of the existing SIR model. Our model divides the infected class I of SIR model into two classes: I u (unknown infected class) and I k (known infected class). In addition, we consider R a recovered and reserved class, where susceptible people can hide them due to fear of th…
A case study on the impact of green investment with a pentagonal fuzzy storage capacity of two green-warehouse inventory systems under two dispatching policies
Optimal control for dengue transmission based on a model with reinfection and treatment
The model divides the population into five sub-populations of humans and three vectors. Boundedness, non-negativity, and continuous dependence of solutions on initial data prove their well-posedness. An explicit expression of the basic reproduction number and stability analysis of equilibria offer insights into disease mitigation and persistence. The Disease-Free Equilibrium is globally stable when the basic reproduction number is below 1, while …
Decision through novel ranking of generalized symmetric pentagonal interval-valued fuzzy criteria for sustainable regional selection
Sustainable forest resources management model through Pythagorean fuzzy Merec–Marcos approach
Computer Science (5 works) · Mathematics (4 works) · Artificial Intelligence (3 works) · Biology (2 works) · COVID-19 epidemiological studies (2 works) · Econometrics (2 works) · Epidemic model (2 works) · Fuzzy logic (2 works) · Mathematical and Theoretical Epidemiology and Ecology Models (2 works) · Medicine (2 works)