Israel Cruz Vega
Cited by
Cited by
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
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, 2016
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
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
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
Surrogate modeling based on an adaptive network and granular computing
I Cruz-Vega, HJ Escalante, CA Reyes, JA Gonzalez, A Rosales
Soft Computing 20 (4), 1549-1563, 2016
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 (6), 2651-2662, 2017
Fpga-based broken bar detection on im using omp algorithm
C Morales-Perez, J Rangel-Magdaleno, H Peregrina-Barreto, ...
2017 IEEE International Instrumentation and Measurement Technology …, 2017
Intelligent identification of induction motor conditions at several mechanical loads
P Gomez-Gil, J Rangel-Magdaleno, JM Ramirez-Cortes, E Garcia-Trevino, ...
2016 IEEE International Instrumentation and Measurement Technology …, 2016
Multiple fuzzy neural networks modeling with sparse data
CV Israel, W Yu
Neurocomputing 73 (13-15), 2446-2453, 2010
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
An online and incremental GRLVQ algorithm for prototype generation based on granular computing
I Cruz-Vega, HJ Escalante
Soft Computing 21 (14), 3931-3944, 2017
FPGA implementation of orthogonal matching pursuit algorithm
C Morales-Pérez, J Rangel-Magdaleno, I Cruz-Vega, J Ramirez-Cortes, ...
2016 13th International Conference on Electrical Engineering, Computing …, 2016
Improved learning rule for LVQ based on granular computing
I Cruz-Vega, HJ Escalante
Mexican Conference on Pattern Recognition, 54-63, 2015
A note on “Adaptive fuzzy fitness granulation for evolutionary optimization”
I Cruz-Vega, HJ Escalante
International Journal of Approximate Reasoning 57, 40-43, 2015
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
Deep Learning Classification for Diabetic Foot Thermograms
I Cruz-Vega, D Hernandez-Contreras, H Peregrina-Barreto, ...
Sensors 20 (6), 1762, 2020
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
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
Mexican International Conference on Artificial Intelligence, 613-621, 2019
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
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