Leveraging machine learning in porous media
The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …
has had a significant impact on engineering and the fundamental sciences, resulting in …
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 …
[PDF][PDF] Numerical investigations of the nonlinear smoke model using the Gudermannian neural networks
These investigations are to find the numerical solutions of the nonlinear smoke model to
exploit a stochastic framework called gudermannian neural works (GNNs) along with the …
exploit a stochastic framework called gudermannian neural works (GNNs) along with the …
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 …
Artificial neural network modeling for predicting the transient thermal distribution in a stretching/shrinking longitudinal fin
This study emphasizes the aspects of heat transfer and transient thermal distribution through
a rectangular fin profile when a stretching or shrinking mechanism is mounted on the surface …
a rectangular fin profile when a stretching or shrinking mechanism is mounted on the surface …
Intelligent Bayesian regularization‐based solution predictive procedure for hybrid nanoparticles of AA7072‐AA7075 oxide movement across a porous medium
The research community has shown great interest for investigation in the nanofluids models
involving Aluminum Alloys AA7072 and AA7072+ AA7075 due to their advantageous impact …
involving Aluminum Alloys AA7072 and AA7072+ AA7075 due to their advantageous impact …
Backpropagation of Levenberg–Marquardt artificial neural networks for reverse roll coating process in the bath of Sisko fluid
A novel approach to the modeling of the nonlinear parameters of a coating system based on
neural networks and artificial neural network neurons has been presented in this paper. The …
neural networks and artificial neural network neurons has been presented in this paper. The …
A computational framework to solve the nonlinear dengue fever SIR system
This study is relevant to present the numerical form of the nonlinear dengue fever SIR
system are presented using the artificial neural networks along with the Levenberg …
system are presented using the artificial neural networks along with the Levenberg …
Boiling heat transfer characteristics of self-rewetting fluid based on the bi-porous sintered surface
Y Yan, M Zhu, Y Hu, R Fang, Y Zeng, M Song… - Applied Thermal …, 2024 - Elsevier
Enhancing boiling heat transfer by changing the working fluid or surface modification is an
effective and simple method. In order to investigate the effect of the coupling characteristics …
effective and simple method. In order to investigate the effect of the coupling characteristics …
Assessment of bidirectional transformer encoder model and attention based bidirectional LSTM language models for fake news detection
A Choudhary, A Arora - Journal of Retailing and Consumer Services, 2024 - Elsevier
Fake news arouses to be untrue with the point of deceiving it openly which is now viewed as
the greatest threat to society by cultivating the political division and doubts in government …
the greatest threat to society by cultivating the political division and doubts in government …