Jiménez Sánchez, D., Quiñones Grueiro, M., Silva Neto, A. J. e Llanes Santiago, O., A Regularized Inverse Problem Approach for Robust Condition Monitoring in Industrial Systems, Capítulo, pp. 177-198, em Shi, P., Stefanovski, J. and Kacprzyk, J., (Eds) Complex Systems: Spanning Control and Computational Cybernetics: Foundations. Studies in Systems, Decision and Control, Vol. 415, ISBN: … Ler mais
Carvalho, G.F.M.G., Corrêa, D.F., Pelta, D.A., Knupp, D.C. e Silva Neto, A.J.S., Efficient Simulation of Pollutant Dispersion Using Machine Learning, pp 372-383. In: García Bringas, P., et al. Hybrid Artificial Intelligent Systems (HAIS 2023). Lecture Notes in Computer Science, vol 14001. Springer, Cham, 2024. Um sistema eficiente e preciso capaz de prever a localização da … Ler mais
Corrêa, D. F., Carvalho, G. F.M.G., Pelta, D.A., Toledo, C.F.M. e Silva Neto, A.J. (2023). On the Prediction of Anomalous Contaminant Diffusion, pp. 290-299. In: García Bringas, P., et al. 18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023). Lecture Notes in Networks and Systems, vol 750. Springer, Cham, 2024. … Ler mais
Rodriguez Martínez, C., Quiñones Grueiro, M., Silva Neto, A. J. e Santiago, O. L., A Novel Approach for Detection and Location of Cyber-Attacks in Water Distribution Networks, pp. 129-139, em: O. Lannes Santiago, Studies in Systems, Decision and Control, Proceedings of 19th Congresso Latinoamericano (LACC 2022), ISSN 2198-4182, ISBN: 978-3-031-26360-6 (Hardcover), 978-3-031-26361-3 (e-Book), Editora Springer, … Ler mais
Rodríguez-Ramos, A., Silva Neto, A. J. e Llanes-Santiago, O., An Improved Fault Diagnosis Scheme Based on a Type-2 Fuzzy Classification Algorithms, pp 84-95. In: Y. Hernandez Heredia et al., Lecture Notes in Computer Science – LNCS, vol. 14335, 8th International Congress on Artificial Intelligence and Pattern Recognition 2023 (IWAIPR 2023), ISSN 0302-9743, ISBN 978-3-031-49552-6, Editora … Ler mais
Rodríguez-Ramos, A., Irigoyen, E., Silva Neto, A. J. e Llanes-Santiago, O., A New Proposal for Detection and Location of Cyberattacks in Industrial Process. In: Y. Hernandez Heredia et al.,pp. 96-107 Lecture Notes in Computer Science – LNCS, vol. 14335, 8th International Congress on Artificial Intelligence and Pattern Recognition 2023 (IWAIPR 2023), ISSN 0302-9743, ISBN 978-3-031-49552-6, … Ler mais
Jardim, L. C. S., Knupp, Barros, T. M. S. M., Abreu, L. A. S., Corona, C. C. e Silva Neto, A. J., Computational Intelligence and Tikhonov Regularization with Reduced Dimension Model: Applications in Health, Renewable Energy and Climate Heat Transfer Inverse Problems, Capítulo, pp. 109-129, em Verdegay, J. L., Brito, J., and Cruz Corona, C., … Ler mais
Jiménez Sánchez, D., Quiñones Grueiro, M., Silva Neto, A. J. e Llanes Santiago, O., A Regularized Inverse Problem Approach for Robust Condition Monitoring in Industrial Systems, Capítulo, pp. 177-198, em Shi, P., Stefanovski, J. and Kacprzyk, J., (Eds) Complex Systems: Spanning Control and Computational Cybernetics: Foundations. Studies in Systems, Decision and Control, Vol. 415, ISBN: … Ler mais
Rodríguez Ramos, A., Bernal de Lázaro, J.M., Silva Neto, A.J., Cruz Corona, C., Verdegay, J.L., Llanes-Santiago, O. (2018) An Approach to Fault Diagnosis Using Fuzzy Clustering Techniques. Capítulo, pp. 232-243, In: Kacprzyk J., Szmidt E., Zadrożny S., Atanassov K., Krawczak M. (eds) Advances in Fuzzy Logic and Technology 2017. IWIFSGN 2017, EUSFLAT 2017. Advances in … Ler mais
Rodríguez Ramos, A., Bernal de Lázaro, J.M., Silva Neto, A.J. e Llanes-Santiago, O., Fault Detection Using Kernel Computational Intelligence Algorithms, Capítulo 14, pp. 263-281, em Computational Intelligence, Optimization and Inverse Problems with Applications in Engineering, (Eds.), ISBN: 978-3-319-96432-4, Editora Springer, 2018 Neste capítulo, um critério de otimização indireta para a configuração de parâmetros do processo … Ler mais