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Aliyu Bagudu
Aliyu Bagudu
Mohamed bin Zayed University of Artificial Intelligence
Zweryfikowany adres z mbzuai.ac.ae - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Modeling thermal conductivity enhancement of metal and metallic oxide nanofluids using support vector regression
IO Alade, TA Oyehan, IK Popoola, SO Olatunji, A Bagudu
Advanced Powder Technology 29 (1), 157-167, 2018
882018
Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm–support vector regression model
IO Alade, A Bagudu, TA Oyehan, MA Abd Rahman, TA Saleh, SO Olatunji
Computer methods and programs in biomedicine 163, 135-142, 2018
792018
Lattice constant prediction of A2XY6 cubic crystals (A= K, Cs, Rb, TI; X= tetravalent cation; Y= F, Cl, Br, I) using computational intelligence approach
IO Alade, IA Olumegbon, A Bagudu
Journal of Applied Physics 127 (1), 2020
452020
Predicting of the refractive index of haemoglobin using the Hybrid GA-SVR approach
TA Oyehan, IO Alade, A Bagudu, KO Sulaiman, SO Olatunji, TA Saleh
Computers in biology and medicine 98, 85-92, 2018
412018
An intelligent approach for the modeling and experimental optimization of molecular hydrodesulfurization over AlMoCoBi catalyst
HA Al-Jamimi, A Bagudu, TA Saleh
Journal of Molecular Liquids 278, 376-384, 2019
382019
Development of a predictive model for estimating the specific heat capacity of metallic oxides/ethylene glycol-based nanofluids using support vector regression
IO Alade, MA Abd Rahman, A Bagudu, Z Abbas, Y Yaakob, TA Saleh
Heliyon 5 (6), 2019
262019
A machine learning approach to the Fama-French three-and five-factor models
B Diallo, A Bagudu, Q Zhang
Available at SSRN 3440840, 2019
62019
Fama–French three versus five, which model is better? A machine learning approach
B Diallo, A Bagudu, Q Zhang
Journal of Forecasting 42 (6), 1461-1475, 2023
52023
Development of machine learning models for the prediction of binary diffusion coefficients of gases
IA Olumegbon, IO Alade, MO Oyedeji, TF Qahtan, A Bagudu
Engineering Applications of Artificial Intelligence 123, 106279, 2023
32023
Towards Efficient Neural Radiance Field For Real-world Applications
A Bagudu
2023
MULTI-OBJECTIVE OPTIMIZATION APPROACH TO SOFTWARE PACKAGING USING SEQUENCE DIAGRAMS
A BAGUDU
King Fahd University of Petroleum & Minerals, 2017
2017
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