Cargando…
A computational stochastic procedure for solving the epidemic breathing transmission system
This work provides numerical simulations of the nonlinear breathing transmission epidemic system using the proposed stochastic scale conjugate gradient neural networks (SCGGNNs) procedure. The mathematical model categorizes the breathing transmission epidemic model into four dynamics based on a nonl...
Autores principales: | AbuAli, Najah, Khan, Muhammad Bilal, Sabir, Zulqurnain |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10533895/ https://www.ncbi.nlm.nih.gov/pubmed/37758765 http://dx.doi.org/10.1038/s41598-023-43324-2 |
Ejemplares similares
-
Solving an Infectious Disease Model considering Its Anatomical Variables with Stochastic Numerical Procedures
por: Sabir, Zulqurnain, et al.
Publicado: (2022) -
RF Sensing Based Breathing Patterns Detection Leveraging USRP Devices
por: Rehman, Mubashir, et al.
Publicado: (2021) -
Improving Machine Learning Classification Accuracy for Breathing Abnormalities by Enhancing Dataset
por: Rehman, Mubashir, et al.
Publicado: (2021) -
A neuro swarm procedure to solve the novel second order perturbed delay Lane-Emden model arising in astrophysics
por: Sabir, Zulqurnain, et al.
Publicado: (2022) -
Hybridization of the swarming and interior point algorithms to solve the Rabinovich–Fabrikant system
por: Sabir, Zulqurnain, et al.
Publicado: (2023)