I. A. Olumegbon

发表

On the assessment of specific heat capacity of nanofluids for solar energy applications: Application of Gaussian process regression (GPR) approach

I. Ahmadianfar, M. Jamei, M. Karbasi, 2020 .

Near-infrared (NIR) spectroscopic evaluation of articular cartilage: A review of current and future trends

Adekunle Oloyede, Isaac O. Afara, Ismail Adewale Olumegbon, 2017 .

Specific heat capacity of molten salt-based nanofluids in solar thermal applications: A paradigm of two modern ensemble machine learning methods

I. Ahmadianfar, M. Jamei, M. Karbasi, 2021 .

On the specific heat capacity estimation of metal oxide-based nanofluid for energy perspective – A comprehensive assessment of data analysis techniques

I. Ahmadianfar, M. Jamei, Z. Said, 2021 .

On the Thermal Conductivity Assessment of Oil-Based Hybrid Nanofluids using Extended Kalman Filter integrated with feed-forward neural network

Amin Asadi, Iman Ahmadianfar, Mehdi Jamei, 2021 .

Modelling the viscosity of carbon-based nanomaterials dispersed in diesel oil: a machine learning approach

I. Alade, I. A. Olumegbon, M. Oyedeji, 2021, Journal of Thermal Analysis and Calorimetry.

Characterizing human subchondral bone properties using near-infrared (NIR) spectroscopy

R. Korhonen, J. Töyräs, I. Afara, 2018, Scientific Reports.

Development of machine learning models for the prediction of binary diffusion coefficients of gases

I. Alade, I. A. Olumegbon, T. Qahtan, 2023, Eng. Appl. Artif. Intell..

Lattice constant prediction of A2XY6 cubic crystals (A = K, Cs, Rb, TI; X = tetravalent cation; Y = F, Cl, Br, I) using computational intelligence approach

I. Alade, I. A. Olumegbon, Aliyu Bagudu, 2020, Journal of Applied Physics.