| Optimal feature selection in industrial foam injection processes using hybrid binary Particle Swarm Optimization and Gravitational Search Algorithm in the Mahalanobis–Taguchi … EO Reséndiz-Flores, JA Navarro-Acosta, A Hernández-Martínez Soft Computing 24 (1), 341-349, 2020 | 15 | 2020 |
| Fault detection and optimal feature selection in automobile motor-head machining process EO Reséndiz-Flores, JA Navarro-Acosta, CG Mota-Gutiérrez, ... The International Journal of Advanced Manufacturing Technology 94, 2613-2622, 2018 | 9 | 2018 |
| Smart fault detection and optimal variables identification using Kernel Mahalanobis Distance for industrial manufacturing processes EO Reséndiz-Flores, JA Navarro-Acosta, ID García-Calvillo International Journal of Computer Integrated Manufacturing 35 (9), 942-950, 2022 | 7 | 2022 |
| Gompertz binary particle swarm optimization and support vector data description system for fault detection and feature selection applied in automotive pedals components JA Navarro-Acosta, EO Reséndiz-Flores The International Journal of Advanced Manufacturing Technology 92, 2311-2324, 2017 | 5 | 2017 |
| Fault detection based on squirrel search algorithm and support vector data description for industrial processes JA Navarro-Acosta, ID García-Calvillo, EO Reséndiz-Flores Soft Computing 26 (24), 13639-13650, 2022 | 3 | 2022 |
| Evaluación psicológica de profesores y alumnos mexicanos durante la pandemia de COVID-19 mediante técnicas de Machine learning JA Navarro-Acosta, V Soto-Mendoza, FR Saucedo-Zendejo, ... Ingeniería, investigación y tecnología 22 (4), 2021 | 1 | 2021 |
| Detección y diagnóstico de fallas para la dinámica lateral de un automóvil utilizando máquinas de soporte vectorial multiclase. JAN Acosta, JPN González Res. Comput. Sci. 73, 167-179, 2014 | 1 | 2014 |
| Machine learning approaches for psychological assessment of mexican professors and students during COVID-19 pandemic JA Navarro-Acosta, V Soto-Mendoza, FR Saucedo-Zendejo, ... Ingeniería, investigación y tecnología 22 (4), 2021 | | 2021 |
| Selección óptima de variables mediante metaheurísticas binarias para la detección de fallas en un proceso industrial multivariado usando aprendizaje de máquina. JAN Acosta, EO Reséndiz-Flores, ID García-Calvillo Res. Comput. Sci. 148 (7), 37-50, 2019 | | 2019 |
| DETECCION DE FALLAS Y SELECCION DE VARIABLES EN UN PROCESO MULTIVARIADO USANDO ANALISIS DE SENALES Y SISTEMAS INTELIGENTES JAN ACOSTA | | 2018 |
| ICA-Multiclass SVM as a Monitoring System of Complex Processes. JAN Acosta, JPN González, VMC Figueroa Res. Comput. Sci. 82, 41-52, 2014 | | 2014 |
Edgar O. Reséndiz-FloresFull time researcher, Tecnológico Nacional de México/IT SaltilloDirección de correo verificada de saltillo.tecnm.mx
