| Deep learning classification for diabetic foot thermograms I Cruz-Vega, D Hernandez-Contreras, H Peregrina-Barreto, ... Sensors 20 (6), 1762, 2020 | 113 | 2020 |
| Chaotic image encryption using hopfield and hindmarsh–rose neurons implemented on FPGA E Tlelo-Cuautle, JD Díaz-Muñoz, AM González-Zapata, R Li, ... Sensors 20 (5), 1326, 2020 | 72 | 2020 |
| Hilbert spectrum analysis of induction motors for the detection of incipient broken rotor bars J Rangel-Magdaleno, H Peregrina-Barreto, J Ramirez-Cortes, ... Measurement 109, 247-255, 2017 | 71 | 2017 |
| A deep learning approach towards autonomous flight in forest environments S Dionisio-Ortega, LO Rojas-Perez, J Martinez-Carranza, I Cruz-Vega 2018 International Conference on Electronics, Communications and Computers …, 2018 | 59 | 2018 |
| Vibration analysis of partially damaged rotor bar in induction motor under different load condition using DWT J Rangel-Magdaleno, H Peregrina-Barreto, J Ramirez-Cortes, ... Shock and Vibration 2016 (1), 3530464, 2016 | 58 | 2016 |
| Synchronization of chaotic artificial neurons and its application to secure image transmission under MQTT for IoT protocol AM González-Zapata, E Tlelo-Cuautle, I Cruz-Vega, WD León-Salas Nonlinear Dynamics 104 (4), 4581-4600, 2021 | 36 | 2021 |
| A review on protection and cancelable techniques in biometric systems JC Bernal-Romero, JM Ramirez-Cortes, JDJ Rangel-Magdaleno, ... Ieee Access 11, 8531-8568, 2023 | 31 | 2023 |
| Direct torque control of a PMSM-drive for electric vehicle applications R Morales-Caporal, ME Leal-López, J de Jesús Rangel-Magdaleno, ... 2018 International Conference on Electronics, Communications and Computers …, 2018 | 25 | 2018 |
| Optimization of fractional-order chaotic cellular neural networks by metaheuristics E Tlelo-Cuautle, AM González-Zapata, JD Díaz-Muñoz, LG de la Fraga, ... The European Physical Journal Special Topics 231 (10), 2037-2043, 2022 | 20 | 2022 |
| Automatic progressive damage detection of rotor bar in induction motor using vibration analysis and multiple classifiers I Cruz-Vega, J Rangel-Magdaleno, J Ramirez-Cortes, ... Journal of Mechanical Science and Technology 31, 2651-2662, 2017 | 19 | 2017 |
| A comparison of intelligent classifiers of thermal patterns in diabetic foot I Cruz-Vega, H Peregrina-Barreto, J de Jesus Rangel-Magdaleno, ... 2019 IEEE International Instrumentation and Measurement Technology …, 2019 | 15 | 2019 |
| Gain-scheduling and pid control for an autonomous aerial vehicle with a robotic arm AL Luna, IC Vega, JM Carranza 2018 IEEE 2nd Colombian conference on robotics and automation (CCRA), 1-6, 2018 | 15 | 2018 |
| Adaptive-surrogate based on a neuro-fuzzy network and granular computing I Cruz-Vega, M Garcia-Limon, HJ Escalante Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 14 | 2014 |
| Real-time monocular vision-based UAV obstacle detection and collision avoidance in GPS-denied outdoor environments using CNN MobileNet-SSD DS Levkovits-Scherer, I Cruz-Vega, J Martinez-Carranza Advances in Soft Computing: 18th Mexican International Conference on …, 2019 | 13 | 2019 |
| Improved grid-photovoltaic system based on variable-step MPPT, predictive control, and active/reactive control MAM Caporal, JJR Magdaleno, IC Vega, RM Caporal IEEE Latin America Transactions 15 (11), 2064-2070, 2017 | 12 | 2017 |
| An online and incremental GRLVQ algorithm for prototype generation based on granular computing I Cruz-Vega, HJ Escalante Soft Computing 21, 3931-3944, 2017 | 12 | 2017 |
| Genetic algorithms based on a granular surrogate model and fuzzy aptitude functions I Cruz-Vega, CAR García, PG Gil, JMR Cortés, JJR Magdaleno 2016 IEEE Congress on Evolutionary Computation (CEC), 2122-2128, 2016 | 12 | 2016 |
| Kalman observers in estimating the states of chaotic neurons for image encryption under MQTT for IoT protocol JD Díaz-Muñoz, I Cruz-Vega, E Tlelo-Cuautle, JM Ramirez Cortes, ... The European Physical Journal Special Topics, 1-18, 2021 | 11 | 2021 |
| Cataract detection and classification systems using computational intelligence: A survey H Morales-Lopez, I Cruz-Vega, J Rangel-Magdaleno Archives of Computational Methods in Engineering 28, 1761-1774, 2021 | 11 | 2021 |
| Surrogate modeling based on an adaptive network and granular computing I Cruz-Vega, HJ Escalante, CA Reyes, JA Gonzalez, A Rosales Soft Computing 20, 1549-1563, 2016 | 11 | 2016 |
José de Jesús Rangel-MagdalenoInstituto Nacional de Astrofisica, Optica y Electronica (INAOE)Email verificata su inaoep.mx