Kumar, A., Bhargavi, D., Ragoju, R., & Laroze, D. (2026). Artificial neural network-based stability analysis of magnetoconvective instability in thermally affected inclined porous channel. International Communications in Heat and Mass Transfer, 172, Artículo 110317. https://doi.org/10.1016/j.icheatmasstransfer.2025.110317

Pedraja-Rejas, L., Rodríguez-Ponce, E., Muñoz-Fritis, C., Garrido-Tamayo, M. Á., Vélez, J., & Laroze, D. (2025). Chinchorro culture: An analysis from the learning perspective. Social Sciences and Humanities Open, 11, Artículo 101309. https://doi.org/10.1016/j.ssaho.2025.101309

Vasquez-Iglesias, P., Pizarro, A. E., Zabala-Blanco, D., Fuentes-Concha, J., Ahumada-Garcia, R., Laroze, D., & Gonzalez, P. (2024). A Hyper-Parameter Optimizer Algorithm Based on Conditional Opposition Local-Based Learning Forbidden Redundant Indexes Adaptive Artificial Bee Colony Applied to Regularized Extreme Learning Machine. Electronics (Switzerland), 13(23), Artículo 4652. https://doi.org/10.3390/electronics13234652

Pérez, L. M., Vélez, J. A., Mahmud, M. N., Corona, R. M., Castillo-Sepúlveda, S., Pedraja-Rejas, L., Otxoa, R. M., Mancini, H. L., & Laroze, D. (2023). Complexity measurements for the thermal convection in a viscoelastic fluid saturated porous medium. Results in Physics, 52, Artículo 106737. https://doi.org/10.1016/j.rinp.2023.106737