Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles

M Baghoolizadeh, N Nasajpour-Esfahani… - Tribology …, 2023 - Elsevier
In the present study, using 15 machine learning algorithms (MLP, SVM, RBF, ELM, ANFIS, D-
Tree, MLR, MPR, BPNN, BN, LM, GD, BFGS, XGB and GMDH), the rheological behavior of …

Optimization of annual electricity consumption costs and the costs of insulation and phase change materials in the residential building using artificial neural network …

M Baghoolizadeh, SAHH Dehkordi… - Journal of Energy …, 2023 - Elsevier
Overuse of energy resources (especially in residential building) has been one of the most
important issues in recent decades. Researchers have often focused on the use of PCM …

Multi-objective optimization of cooling and heating loads in residential buildings integrated with phase change materials using the artificial neural network and genetic …

H Bagheri-Esfeh, H Safikhani, S Motahar - Journal of Energy Storage, 2020 - Elsevier
In this paper, a multi-objective optimization was performed to achieve the minimum cooling
and heating loads in a residential building integrated with phase change material (PCM) …

Multi‐objective optimization of annual electricity consumption and annual electricity production of a residential building using photovoltaic shadings

M Baghoolizadeh, AA Nadooshan… - … Journal of Energy …, 2022 - Wiley Online Library
Shading is one of the cases that has effectivity on the household energy consumption.
Shadings can be used either in horizontal or vertical form adjacent to the building's window …

The effect of vortex generators on the hydrodynamic performance of a submarine at a high angle of attack using a multi-objective optimization and computational fluid …

M Rostamzadeh-Renani, R Rostamzadeh-Renani… - Ocean …, 2023 - Elsevier
Having a suitable maneuverability is of a high importance in the design of submarines. They
should have a proper stability during depth changes and emergency rise which requires …

The effect of canard's optimum geometric design on wake control behind the car using Artificial Neural Network and Genetic Algorithm

M Rostamzadeh-Renani, M Baghoolizadeh… - ISA transactions, 2022 - Elsevier
Canard is a cutting-edge aerodynamic attachment for lowering the vehicle's drag coefficient
by efficiently directing the airflow as well as reducing the lift coefficient by enhancing down …

[HTML][HTML] A multi-objective and CFD based optimization of roof-flap geometry and position for simultaneous drag and lift reduction

M Rostamzadeh-Renani, M Baghoolizadeh… - Propulsion and Power …, 2024 - Elsevier
As the transport sector is responsible for the consumption of a vast proportion of the oil
produced, it is mandatory to research feasible solutions to tackle this issue. The application …

Main body shape optimization of non-body-of-revolution underwater vehicles by using CNN and genetic algorithm

Y Xu, P Liu, L Wang, J Ma - Ocean Engineering, 2024 - Elsevier
In this study, a three-dimensional main body shape of non-body-of-revolution underwater
vehicle is established according to the shape of fish flat body, and the contour is controlled …

Optimisation of drag coefficient of a car based on back propagation neural network and genetic algorithm

Z Yuan, H Zhang, W Xiang, Y Du… - International Journal of …, 2024 - inderscienceonline.com
In order to reduce the time cost of automotive aerodynamic performance development, this
paper proposes a new method that combines error back propagation neural networks and …

Efficient Multi-Objective NeuroEvolution in Computer Vision and Applications for Threat Identification

D Dimanov - 2023 - eprints.bournemouth.ac.uk
Concealed threat detection is at the heart of critical security systems designed to en-sure
public safety. Currently, methods for threat identification and detection are primarily manual …