Gudermannian neural networks using the optimization procedures of genetic algorithm and active set approach for the three-species food chain nonlinear model
The present study is to investigate the Gudermannian neural networks (GNNs) using the
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
optimization procedures of genetic algorithm and active-set approach (GA-ASA) to solve the …
A novel CNN-TLSTM approach for dengue disease identification and prevention using IoT-fog cloud architecture
SN Manoharan, KMVM Kumar, N Vadivelan - Neural Processing Letters, 2023 - Springer
One of the mosquito-borne pandemic viral infections is Dengue which is mostly transmitted
to humans by the Aedes agypti or female Aedes albopictis mosquitoes. The dengue disease …
to humans by the Aedes agypti or female Aedes albopictis mosquitoes. The dengue disease …
Novel manta rays foraging optimization algorithm based optimal control for grid-connected PV energy system
Large-scale photovoltaic system (PV) installation can affect power system operation,
stability, and reliability because of the non-linear characteristic of the PV system installation …
stability, and reliability because of the non-linear characteristic of the PV system installation …
Intelligence computing approach for solving second order system of Emden–Fowler model
In this research study, an advance computational intelligence paradigm is used for solving
second order Emden-Fowler system (EFS) based on artificial neural network, genetic …
second order Emden-Fowler system (EFS) based on artificial neural network, genetic …
Novel intelligent predictive networks for analysis of chaos in stochastic differential SIS epidemic model with vaccination impact
In this paper, stochastic predictive computing networks are exploited to investigate the
dynamics of the SIS with vaccination impact based epidemic model (SISV-EM) represented …
dynamics of the SIS with vaccination impact based epidemic model (SISV-EM) represented …
[HTML][HTML] An advanced heuristic approach for a nonlinear mathematical based medical smoking model
The present study is related to solve the nonlinear dynamics of a smoke model using
artificial neural networks (ANNs) under the optimization procedures of global heuristic and …
artificial neural networks (ANNs) under the optimization procedures of global heuristic and …
Biological and chemical control of mosquito population by optimal control approach
This paper focuses on the design and analysis of short-term control intervention measures
seeking to suppress local populations of Aedes aegypti mosquitoes, the major transmitters …
seeking to suppress local populations of Aedes aegypti mosquitoes, the major transmitters …
Weevil damage optimization algorithm and its applications
S Mousavi, S Mirinezhad - Journal of Future Sustainability, 2022 - growingscience.com
Weevils are a type of insect with elongated snouts coming from superfamily of
Curculionoidea with approximately 97,000 species. Most of them consider pest and cause …
Curculionoidea with approximately 97,000 species. Most of them consider pest and cause …
Envisagation and analysis of mosquito borne fevers: a health monitoring system by envisagative computing using big data analytics
G Sabarmathi, R Chinnaiyan - … on Computer Networks, Big Data and IoT …, 2020 - Springer
In the recent past, the globalization of economies paved a way to exponential growth of
technological expansions in almost all verticals of business and therefore accumulation of …
technological expansions in almost all verticals of business and therefore accumulation of …
Artificial intelligence knacks-based stochastic paradigm to study the dynamics of plant virus propagation model with impact of seasonality and delays
The presented study deals with the exploitation of the artificial intelligence knacks-based
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …
stochastic paradigm for the numerical treatment of the nonlinear delay differential system for …