Kalman filter based short term prediction model for COVID-19 spread
Abstract Corona Virus Disease 2019 (COVID19) has emerged as a global medical
emergency in the contemporary time. The spread scenario of this pandemic has shown …
emergency in the contemporary time. The spread scenario of this pandemic has shown …
[HTML][HTML] Application of optimal control to the dynamics of COVID-19 disease in South Africa
Abstract SARS-CoV-2 (COVID-19) belongs to the beta-coronavirus family, which include: the
severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory …
severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory …
Underlying principles of a Covid-19 behavioral vaccine for a sustainable cultural change
KC Couto, F Moura Lorenzo, M Tagliabue… - International Journal of …, 2020 - mdpi.com
Until pharmacological measures are effective at containing the COVID-19 outbreak,
adopting protective behaviors is paramount. In this work, we aim at informing interventions to …
adopting protective behaviors is paramount. In this work, we aim at informing interventions to …
A Time-dependent mathematical model for COVID-19 transmission dynamics and analysis of critical and hospitalized cases with bed requirements
A time-dependent SEAIHCRD model is the extension of the SEIR model, which includes
some new compartment that is asymptomatic infectious people, hospitalized people, critical …
some new compartment that is asymptomatic infectious people, hospitalized people, critical …
SEIHCRD model for COVID-19 spread scenarios, disease predictions and estimates the basic reproduction number, case fatality rate, hospital, and ICU beds …
We have proposed a new mathematical method, the SEIHCRD model, which has an
excellent potential to predict the incidence of COVID-19 diseases. Our proposed SEIHCRD …
excellent potential to predict the incidence of COVID-19 diseases. Our proposed SEIHCRD …
Analytical Study of Deep Learning‐Based Preventive Measures of COVID‐19 for Decision Making and Aggregation via the RISTECB Model
Coronavirus disease (COVID‐19) primarily spreads through imbalanced social distancing
practices. Automatic analysis is possible through deep learning‐based methods to …
practices. Automatic analysis is possible through deep learning‐based methods to …
Low-Frequency Electronically Tunable Fractional Filter and its Implementation as Neural Network
A fractional low-pass filter operating in a low-frequency range is necessary for the filtering of
biomedical signals. Thus, we propose a fractional low-pass filter of order (1+ α) which is …
biomedical signals. Thus, we propose a fractional low-pass filter of order (1+ α) which is …
[HTML][HTML] Optimizing Contact Network Topological Parameters of Urban Populations Using the Genetic Algorithm
AR Sergio, PHT Schimit - Entropy, 2024 - mdpi.com
This paper explores the application of complex network models and genetic algorithms in
epidemiological modeling. By considering the small-world and Barabási–Albert network …
epidemiological modeling. By considering the small-world and Barabási–Albert network …
Efficient Machine Learning and Factional Calculus Based Mathematical Model for Early COVID Prediction
SK Chandra, MK Bajpai - Human-Centric Intelligent Systems, 2023 - Springer
Diseases are increasing with exponential rate worldwide. Its detection is challenging task
due to unavailability of the experts. Machine learning models provide automated mechanism …
due to unavailability of the experts. Machine learning models provide automated mechanism …
Chaos and Control of COVID-19 Dynamical System
Chaos, which is found in many dynamical systems, due to the presence of chaos, systems
behave erratically. Due to its erratic behavior, the chaotic behavior of the system needs to be …
behave erratically. Due to its erratic behavior, the chaotic behavior of the system needs to be …