Nonlinear neural network based forecasting model for predicting COVID-19 cases

S Namasudra, S Dhamodharavadhani… - Neural processing …, 2023 - Springer
The recent COVID-19 outbreak has severely affected people around the world. There is a
need of an efficient decision making tool to improve awareness about the spread of COVID …

COVID-19 mortality rate prediction for India using statistical neural networks and gaussian process regression model

S Dhamodharavadhani, R Rathipriya - African Health Sciences, 2021 - ajol.info
The primary purpose of this research is to identify the best COVID-19 mortality model for
India using regression models and is to estimate the future COVID-19 mortality rate for India …

Identifying Stable Path in Self Configured Networks Using Particle Swarm Optimization with Centrality Betweenness

P Malarvizhi, G Kavithaa - Journal of Electrical Engineering & Technology, 2024 - Springer
Routing stability and energy conservation in Mobile Adhoc Network (MANET) applications
have been critical concerns in recent years. The volume of data being communicated …

Dengue Incidence Rate Prediction Using Nonlinear Autoregressive Neural Network Time Series Model

S Dhamodharavadhani… - Medical Imaging and …, 2022 - Wiley Online Library
Dengue fever is a vector‐borne disease spread by female mosquitoes in tropical and sub‐
tropical regions worldwide. The leading cause of severe illness and death in children and …

Optimizing Node Coverage and Lifespan of Wireless Body Area Network Using Hybrid Particle Swarm Optimization

S Selvaraj, R Rathipriya - International Conference on Communication …, 2021 - Springer
Wireless body area network (WBAN) is one of the emerging wireless sensor networks for
medical applications and treatments with the constrained power of numerous tiny sensors …

Pattern Analysis of COVID-19 Death and Recovery Cases Data of Countries Using Greedy Biclustering Algorithm

S Dhamodharavadhani… - Applications of Machine …, 2022 - taylorfrancis.com
COVID-19 data were analyzed using the biclustering approach to gain insights such as
which groups of countries have similar epidemic trajectory patterns over the subset of …