| A fast image dehazing algorithm using morphological reconstruction S Salazar-Colores, E Cabal-Yepez, JM Ramos-Arreguin, G Botella, ... IEEE transactions on image processing 28 (5), 2357-2366, 2018 | 142 | 2018 |
| Human activity recognition using temporal convolutional neural network architecture YA Andrade-Ambriz, S Ledesma, MA Ibarra-Manzano, MI Oros-Flores, ... Expert Systems with Applications 191, 116287, 2022 | 126 | 2022 |
| Blood vessel segmentation in retinal fundus images using Gabor filters, fractional derivatives, and Expectation Maximization H Aguirre-Ramos, JG Avina-Cervantes, I Cruz-Aceves, J Ruiz-Pinales, ... Applied Mathematics and Computation 339, 568-587, 2018 | 96 | 2018 |
| Optimization of Type 4 composite pressure vessels using genetic algorithms and simulated annealing V Alcántar, SM Aceves, E Ledesma, S Ledesma, E Aguilera International journal of hydrogen energy 42 (24), 15770-15781, 2017 | 93 | 2017 |
| Practical considerations for simulated annealing implementation S Ledesma, G Aviña, R Sanchez Simulated annealing 20, 401-420, 2008 | 93 | 2008 |
| A review on applications of fuzzy logic control for refrigeration systems JM Belman-Flores, DA Rodríguez-Valderrama, S Ledesma, ... Applied Sciences 12 (3), 1302, 2022 | 88 | 2022 |
| Synthesis of fractional Gaussian noise using linear approximation for generating self-similar network traffic S Ledesma, D Liu ACM SIGCOMM Computer Communication Review 30 (2), 4-17, 2000 | 82 | 2000 |
| Quaternion signal analysis algorithm for induction motor fault detection JL Contreras-Hernandez, DL Almanza-Ojeda, S Ledesma-Orozco, ... IEEE Transactions on Industrial Electronics 66 (11), 8843-8850, 2019 | 58 | 2019 |
| Using ANNs to approach to the energy performance for a small refrigeration system working with R134a and two alternative lower GWP mixtures JM Belman-Flores, A Mota-Babiloni, S Ledesma, P Makhnatch Applied thermal engineering 127, 996-1004, 2017 | 56 | 2017 |
| Analysis of a variable speed vapor compression system using artificial neural networks JM Belman-Flores, SE Ledesma, MG Garcia, J Ruiz, JL Rodríguez-Muñoz Expert systems with applications 40 (11), 4362-4369, 2013 | 50 | 2013 |
| Optimization of type III pressure vessels using genetic algorithm and simulated annealing V Alcantar, S Ledesma, SM Aceves, E Ledesma, A Saldana International Journal of Hydrogen Energy 42 (31), 20125-20132, 2017 | 46 | 2017 |
| A comparison between the modeling of a reciprocating compressor using artificial neural network and physical model JM Belman-Flores, S Ledesma, JM Barroso-Maldonado, J Navarro-Esbrí International Journal of Refrigeration 59, 144-156, 2015 | 46 | 2015 |
| Temperature cycling on simulated annealing for neural network learning S Ledesma, M Torres, D Hernández, G Aviña, G García Mexican International Conference on Artificial Intelligence, 161-171, 2007 | 44 | 2007 |
| Feature selection using artificial neural networks S Ledesma, G Cerda, G Avina, D Hernandez, M Torres Mexican international conference on artificial intelligence, 351-359, 2008 | 43 | 2008 |
| Tunable apodizers and tunable focalizers using helical pairs J Ojeda-Castaneda, S Ledesma, CM Gomez-Sarabia Photonics Letters of Poland 5 (1), 20-22, 2013 | 41 | 2013 |
| Energy optimization of a domestic refrigerator controlled by a fuzzy logic system using the status of the door JM Belman-Flores, S Ledesma, DA Rodríguez-Valderrama, ... International Journal of Refrigeration 104, 1-8, 2019 | 40 | 2019 |
| Statistical analysis of the energy performance of a refrigeration system working with R1234yf using artificial neural networks JM Belman-Flores, S Ledesma Applied Thermal Engineering 82, 8-17, 2015 | 36 | 2015 |
| Analysis and modeling of a variable speed reciprocating compressor using ANN S Ledesma, JM Belman-Flores, JM Barroso-Maldonado International Journal of Refrigeration 59, 190-197, 2015 | 35 | 2015 |
| A fast method for generating self-similar network traffic S Ledesma, D Liu WCC 2000-ICCT 2000. 2000 International Conference on Communication …, 2000 | 35 | 2000 |
| Neural lab a simulator for artificial neural networks S Ledesma, MA Ibarra-Manzano, MG Garcia-Hernandez, ... 2017 Computing conference, 716-721, 2017 | 34 | 2017 |
