[HTML][HTML] A review of optimization and measurement techniques of the friction stir welding (FSW) process
This review reports on the influencing parameters on the joining parts quality of tools and
techniques applied for conducting process analysis and optimizing the friction stir welding …
techniques applied for conducting process analysis and optimizing the friction stir welding …
A survey on projection neural networks and their applications
Constrained optimization problems arise in numerous scientific and engineering
applications, and many papers on the online solution of constrained optimization problems …
applications, and many papers on the online solution of constrained optimization problems …
Optimization of Darcy-Forchheimer squeezing flow in nonlinear stratified fluid under convective conditions with artificial neural network
A Shafiq, AB Çolak, TN Sindhu… - Heat Transfer …, 2022 - dl.begellhouse.com
In cases when high velocity occurs, non-Darcy phenomena are essential for explaining fluid
motion in porous media and have wide range of applications. The present study displays the …
motion in porous media and have wide range of applications. The present study displays the …
[HTML][HTML] Noise prediction of axial piston pump based on different valve materials using a modified artificial neural network model
HA Babikir, M Abd Elaziz, AH Elsheikh… - Alexandria Engineering …, 2019 - Elsevier
In this paper, an alternative method to predict the noise of a submersible Axial Piston Pump
(APP) for different valve seat materials is presented. The proposed method is composed of …
(APP) for different valve seat materials is presented. The proposed method is composed of …
A systematic comparison of machine learning methods for modeling of dynamic processes applied to combustion emission rate modeling
Ten established, data-driven dynamic algorithms are surveyed and a practical guide for
understanding these methods generated. Existing Python programming packages for …
understanding these methods generated. Existing Python programming packages for …
Non-parameterized ship maneuvering model of Deep Neural Networks based on real voyage data-driven
Z Wang, J Kim, N Im - Ocean Engineering, 2023 - Elsevier
Abstract While Deep Neural Network (DNN) models for ship maneuvering model are
commonly constructed using experimental model ships or simulation data, this study focuses …
commonly constructed using experimental model ships or simulation data, this study focuses …
Improved prediction of oscillatory heat transfer coefficient for a thermoacoustic heat exchanger using modified adaptive neuro-fuzzy inference system
Despite the increasingly rapid advances in the thermoacoustic field, heat transfer process in
thermoacoustic-based heat exchangers has not been fully understood yet. In this study, an …
thermoacoustic-based heat exchangers has not been fully understood yet. In this study, an …
Instantaneous vehicle fuel consumption estimation using smartphones and recurrent neural networks
The high level of air pollution in urban areas, caused in no small extent by road transport,
requires the implementation of continuous and accurate monitoring techniques if emissions …
requires the implementation of continuous and accurate monitoring techniques if emissions …
[HTML][HTML] Numerical treatment for the desirability of Hall current and activation energy in the enhancement of heat transfer in a nanofluidic system
The growing attractiveness of Artificial Neural Networks (ANNs) derives from their
exceptional effectiveness in handling difficult and exceptionally nonlinear mathematical …
exceptional effectiveness in handling difficult and exceptionally nonlinear mathematical …
Process Optimization and Studies on Mechanical Characteristics of AA2014/Al2O3 Nanocomposites Fabricated Through Ultrasonication Assisted Stir–Squeeze …
The present study investigates the impact of novel ultrasonic-assisted squeeze casting
parameters on the fabrication of AA2014/Al 2 O 3 nanocomposites using the Taguchi Grey …
parameters on the fabrication of AA2014/Al 2 O 3 nanocomposites using the Taguchi Grey …