A quick review of the applications of artificial neural networks (ANN) in the modelling of thermal systems

Daniel Raphael Ejike Ewim , Modestus O Okwu , Ekene Jude Onyiriuka , Aasa Samson Abiodun
Paulus Editora

42
2021
Effects of various rescaling techniques in the prediction of the thermal conductivity of nanofluids using different machine learning algorithms

Ekene Jude Onyiriuka
Parallelism in Architecture, Engineering & Computing Techniques-& Utopian, and Sacred Architecture Studies (USAS)- 10 -10

AN OPTIMIZATION TECHNIQUE TO IDENTIFY SIMULATION ASSUMPTIONS FOR VARIOUS NANOFLUIDS USING MACHINE LEARNING

Ekene J Onyiriuka , Daniel RE Ewim , Sogo Mayokun Abolarin ,
International Heat Transfer Conference Digital Library

12
2023
Thermal performance of nano refrigerants: a short review

Daniel Raphael Ejike Ewim , Adeola S Shote , Ekene J Onyiriuka , Saheed Adewale Adio
J Mech Eng Res Dev 44 89 -115

6
2021
11
2018
Modelling of heat transfer coefficients during condensation inside an enhanced inclined tube

DRE Ewim , AO Adelaja , EJ Onyiriuka , JP Meyer
Journal of Thermal Analysis and Calorimetry 1 -13

7
2020
Prediction of Crime in Nigeria using Artificial Intelligence

EG Sadjere , EJ Onyiriuka , JC Mbam , NP Onyiriuka
BOOK OF CONFERENCE 435 -435

2024
Predictive modelling of thermal conductivity in single-material nanofluids: a novel approach

Ekene Onyiriuka
Bulletin of the National Research Centre 47 ( 1) 140 -140

5
2023
Modelling the thermal conductivity of nanofluids using a novel model of models approach

Ekene Onyiriuka
Journal of Thermal Analysis and Calorimetry 148 ( 23) 13569 -13585

2
2023
Optimising Al2O3–water nanofluid

Ekene Onyiriuka
Bulletin of the National Research Centre 48 ( 1) 2 -2

1
2024
Modeling nanofluid viscosity: comparing models and optimizing feature selection—a novel approach

Ekene Onyiriuka
Bulletin of the National Research Centre 47 ( 1) 139 -139

2023
A numerical investigation of mango leaves-water nanofluid under laminar flow regime

E.J. Onyiriuka , E.A. Ikponmwoba
Nigerian Journal of Technology 38 ( 2) 348 -354

1
2019