Items where Author is "Kanthasamy, R."

Kanthasamy, R. and Almatrafi, E. and Ali, I. and Hussain Sait, H. and Zwawi, M. and Abnisa, F. and Choe Peng, L. and Victor Ayodele, B. (2023) Bayesian optimized multilayer perceptron neural network modelling of biochar and syngas production from pyrolysis of biomass-derived wastes. Fuel, 350. ISSN 00162361

Kanthasamy, R. and Ali, I. and Ayodele, B.V. and Maddah, H.A. (2023) Bio-hydrogen production from the photocatalytic conversion of wastewater: Parametric analysis and data-driven modelling using nonlinear autoregressive with exogeneous input and back-propagated multilayer perceptron neural networks. Fuel, 344. ISSN 00162361

Kanthasamy, R. and Almatrafi, E. and Ali, I. and Hussain Sait, H. and Zwawi, M. and Abnisa, F. and Choe Peng, L. and Victor Ayodele, B. (2023) Biochar production from valorization of agricultural Wastes: Data-Driven modelling using Machine learning algorithms. Fuel, 351. ISSN 00162361

Bahadar, A. and Kanthasamy, R. and Sait, H.H. and Zwawi, M. and Algarni, M. and Ayodele, B.V. and Cheng, C.K. and Wei, L.J. (2022) Elucidating the effect of process parameters on the production of hydrogen-rich syngas by biomass and coal Co-gasification techniques: A multi-criteria modeling approach. Chemosphere, 287.

Ayodele, B.V. and Mustapa, S.I. and Kanthasamy, R. and Mohammad, N. and AlTurki, A. and Babu, T.S. (2022) Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm. International Journal of Hydrogen Energy.

Ayodele, B.V. and Mustapa, S.I. and Kanthasamy, R. and Mohammad, N. and AlTurki, A. and Babu, T.S. (2022) Performance analysis of support vector machine, Gaussian Process Regression, sequential quadratic programming algorithms in modeling hydrogen-rich syngas production from catalyzed co-gasification of biomass wastes from oil palm. International Journal of Hydrogen Energy, 47 (98). pp. 41432-41443. ISSN 03603199