| Modeling and optimization of COD removal from cold meat industry wastewater by electrocoagulation using computational techniques J Morales-Rivera, B Sulbarán-Rangel, KJ Gurubel-Tun, J del Real-Olvera, ... Processes 8 (9), 1139, 2020 | 21 | 2020 |
| Neural forecasting and optimal sizing for hybrid renewable energy systems with grid-connected storage system KJ Gurubel, V Osuna-Enciso, JJ Cardenas, A Coronado-Mendoza, ... Journal of Renewable and Sustainable Energy 8 (4), 2016 | 17 | 2016 |
| A neural observer with time-varying learning rate: analysis and applications KJ Gurubel, AY Alanis, EN Sánchez, S Carlos-Hernandez International journal of neural systems 24 (01), 1450011, 2014 | 17 | 2014 |
| Dynamic phasors modeling for a single phase two stage inverter A Coronado-Mendoza, MA Pérez-Cisneros, JA Domínguez-Navarro, ... Electric Power Systems Research 140, 854-865, 2016 | 14 | 2016 |
| Robust inverse optimal control for a boost converter M Villegas-Ruvalcaba, KJ Gurubel-Tun, A Coronado-Mendoza Energies 14 (9), 2507, 2021 | 13 | 2021 |
| Optimizing the penetration of standalone microgrid, incorporating demand side management as a guiding principle LFG Gabriel, R Ruiz-Cruz, V Zúñiga-Grajeda, KJ Gurubel-Tun, ... Energy Reports 8, 2712-2725, 2022 | 11 | 2022 |
| Neuronal modeling of a two stages anaerobic digestion process for biofuels production SUA Camberos, KJ Gurubel, EN Sanchez, SA Aguirre, RG Perez IFAC-PapersOnLine 51 (13), 408-413, 2018 | 10 | 2018 |
| Optimal control strategy based on neural model of nonlinear systems and evolutionary algorithms for renewable energy production as applied to biofuel generation KJ Gurubel, V Osuna-Enciso, A Coronado-Mendoza, E Cuevas Journal of Renewable and Sustainable Energy 9 (3), 2017 | 8 | 2017 |
| Inverse optimal neural control via passivity approach for nonlinear anaerobic bioprocesses with biofuels production KJ Gurubel, EN Sanchez, A Coronado‐Mendoza, V Zuniga‐Grajeda, ... Optimal Control Applications and Methods 40 (5), 848-858, 2019 | 7 | 2019 |
| Inverse optimal control using metaheuristics of hydropower plant model via forecasting based on the feature engineering MA Perez-Villalpando, KJ Gurubel Tun, CA Arellano-Muro, F Fausto Energies 14 (21), 7356, 2021 | 6 | 2021 |
| Taxonomic Binning Approaches and Functional Characteristics of the Microbial Community during the Anaerobic Digestion of Hydrolyzed Corncob L Breton-Deval, I Salinas-Peralta, JS Alarcón Aguirre, B Sulbarán-Rangel, ... Energies 14 (1), 66, 2020 | 6 | 2020 |
| Optimal neural tracking control with metaheuristic parameter identification for uncertain nonlinear systems with disturbances R Recio-Colmenares, KJ Gurubel-Tun, V Zúñiga-Grajeda Applied Sciences 10 (20), 7073, 2020 | 5 | 2020 |
| Design of a Soft Sensor Based on Long Short-Term Memory Artificial Neural Network (LSTM) for Wastewater Treatment Plants R Recio-Colmenares, E León Becerril, KJ Gurubel Tun, RF Conchas Sensors 23 (22), 9236, 2023 | 3 | 2023 |
| PSO hybrid intelligent inverse optimal control for an anaerobic process KJ Gurubel, EN Sanchez, S Carlos-Hernandez, F Ornelas-Tellez 2013 IEEE Congress on Evolutionary Computation, 876-883, 2013 | 3 | 2013 |
| Artificial neural networks based on nonlinear bioprocess models for predicting wastewater organic compounds and biofuel production KJ Gurubel, EN Sanchez, R González, HC y León, R Recio Artificial Neural Networks for Engineering Applications, 79-96, 2019 | 2 | 2019 |
| Optimal Neural Control of A Two Stages Anaerobic Digestion Model for Biofuels Production KJ Gurubel, EN Sanchez, A Coronado, V Zúñga, B Sulbaran 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 2 | 2018 |
| Modelado neuronal de un proceso de digestión aeróbica de aguas residuales RBR Colmenares, KJG Tún BISTUA Revista de la Facultad de Ciencias Básicas 16 (1), 163-173, 2018 | 2 | 2018 |
| Neuro-fuzzy control strategy for methane production in an anaerobic process KJ Gurubel, EN Sanchez, S Carlos-Hernandez The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 2 | 2013 |
| Assessment of Machine Learning Models for Remote Sensing of Water Quality in Lakes Cajititlán and Zapotlán, Jalisco—Mexico FH Villota-González, B Sulbarán-Rangel, F Zurita-Martínez, ... Remote Sensing 15 (23), 5505, 2023 | 1 | 2023 |
| Meta-optimization of bio-inspired algorithms for antenna array design V Zúniga-Grajeda, A Coronado-Mendoza, KJ Gurubel-Tun Kybernetika 54 (3), 610-628, 2018 | 1 | 2018 |
