Citations refer to the original publication, not to a Scieee localized version.
Castro Bello, M., Romero Juárez, V. M., Fuentes Pacheco, J., Morales Morales, C., Marmolejo Vega, C. V., Zagal Barrera, S. R., Gutierrez Valencia, D. E., & Marmolejo Duarte, C. R. (2025). R3sNet: optimized residual neural network architecture for the classification of urban solid waste via images. Sustainability (Basel), 17(8, article 3502). https://doi.org/10.3390/su17083502
Castro Bello, Mirna, et al. “R3sNet: optimized residual neural network architecture for the classification of urban solid waste via images.” Sustainability (Basel), vol. 17, no. 8, article 3502, 2025. https://doi.org/10.3390/su17083502.
Castro Bello, Mirna, Victor M. Romero Juárez, Jorge Fuentes Pacheco, Cornelio Morales Morales, Carlos Virgilio Marmolejo Vega, Sergio R. Zagal Barrera, Diego Esteban Gutierrez Valencia, and Carlos Ramiro Marmolejo Duarte. “R3sNet: optimized residual neural network architecture for the classification of urban solid waste via images.” Sustainability (Basel) 17, no. 8, article 3502 (2025). https://doi.org/10.3390/su17083502.
Castro Bello, M. et al. (2025) ‘R3sNet: optimized residual neural network architecture for the classification of urban solid waste via images’, Sustainability (Basel), 17(8, article 3502). Available at: https://doi.org/10.3390/su17083502.
M. Castro Bello et al., “R3sNet: optimized residual neural network architecture for the classification of urban solid waste via images,” Sustainability (Basel), vol. 17, no. 8, article 3502, 2025, doi: 10.3390/su17083502.
@article{castrobello2025r3snet,
author = {Castro Bello, Mirna and Romero Juárez, Victor M. and Fuentes Pacheco, Jorge and Morales Morales, Cornelio and Marmolejo Vega, Carlos Virgilio and Zagal Barrera, Sergio R. and Gutierrez Valencia, Diego Esteban and Marmolejo Duarte, Carlos Ramiro},
title = {R3sNet: optimized residual neural network architecture for the classification of urban solid waste via images},
journal = {Sustainability (Basel)},
year = {2025},
volume = {17},
number = {8, article 3502},
publisher = {Multidisciplinary Digital Publishing Institute (MDPI)},
doi = {10.3390/su17083502},
url = {https://doi.org/10.3390/su17083502}
}
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