| The multivariable inverse artificial neural network combined with GA and PSO to improve the performance of solar parabolic trough collector W Ajbar, A Parrales, U Cruz-Jacobo, RA Conde-Gutiérrez, A Bassam, ... Applied Thermal Engineering 189, 116651, 2021 | 59 | 2021 |
| Different ways to improve parabolic trough solar collectors’ performance over the last four decades and their applications: A comprehensive review W Ajbar, A Parrales, A Huicochea, JA Hernández Renewable and Sustainable Energy Reviews 156, 111947, 2022 | 51 | 2022 |
| Thermal efficiency improvement of parabolic trough solar collector using different kinds of hybrid nanofluids W Ajbar, JA Hernández, A Parrales, L Torres Case Studies in Thermal Engineering 42, 102759, 2023 | 32 | 2023 |
| New void fraction equations for two-phase flow in helical heat exchangers using artificial neural networks A Parrales, D Colorado, JA Díaz-Gómez, A Huicochea, A Álvarez, ... Applied Thermal Engineering 130, 149-160, 2018 | 32 | 2018 |
| Artificial neural networks with conformable transfer function for improving the performance in thermal and environmental processes JE Solís-Pérez, JA Hernández, A Parrales, JF Gómez-Aguilar, ... Neural Networks 152, 44-56, 2022 | 26 | 2022 |
| Analysis of transfer functions and normalizations in an ANN model that predicts the transport of energy in a parabolic trough solar collector ED Reyes-Téllez, A Parrales, GE Ramírez-Ramos, JA Hernández, ... Desalin. Water Treat 200, 23-41, 2020 | 22 | 2020 |
| Heat transfer coefficients analysis in a helical double-pipe evaporator: Nusselt number correlations through artificial neural networks A Parrales, JA Hernández-Pérez, O Flores, H Hernandez, ... Entropy 21 (7), 689, 2019 | 20 | 2019 |
| Modelling of behavior for inhibition corrosion of bronze using artificial neural network (ANN) DE Millán-Ocampo, A Parrales-Bahena, JG González-Rodríguez, ... Entropy 20 (6), 409, 2018 | 17 | 2018 |
| Prediction of global solar radiation by artificial neural network based on a meteorological environmental data J Díaz-Gómez, A Parrales, A Álvarez, S Silva-Martínez, D Colorado, ... Desalination and Water Treatment 55 (12), 3210-3217, 2015 | 17 | 2015 |
| Identification of the relevant input variables for predicting the parabolic trough solar collector's outlet temperature using an artificial neural network and a multiple linear … W Ajbar, A Parrales, S Silva-Martínez, A Bassam, OA Jaramillo, ... Journal of Renewable and Sustainable Energy 13 (4), 2021 | 13 | 2021 |
| Void fraction correlations analysis and their influence on heat transfer of helical double-pipe vertical evaporator A Parrales, D Colorado, A Huicochea, J Díaz, JA Hernández Applied energy 127, 156-165, 2014 | 12 | 2014 |
| A conformable artificial neural network model to improve the void fraction prediction in helical heat exchangers JA Hernández, JE Solís-Pérez, A Parrales, A Mata, D Colorado, ... International Communications in Heat and Mass Transfer 148, 107035, 2023 | 5 | 2023 |
| Artificial neural network applied to the renewable energy system performance A Parrales, ED Reyes-Téllez, W Ajbar, JA Hernández Artificial Neural Networks for Renewable Energy Systems and Real-World …, 2022 | 5 | 2022 |
| Thermodynamic analysis of cooling and heating systems for energy recovery A Acevedo, JA Hernandez, D Juarez, A Parrales, R Saravanan, ... International Journal of Refrigeration 115, 172-181, 2020 | 5 | 2020 |
| Improvement of the classical artificial neural network simulation model of the parabolic trough solar collector outlet temperature and thermal efficiency using the conformable … W Ajbar, JE Solís-Pérez, E Viera-Martin, A Parrales, JF Gómez-Aguilar, ... Sustainable Energy, Grids and Networks 36, 101200, 2023 | 4 | 2023 |
| Modeling of electrochemical removal of cadmium under galvanostatic mode using an artificial neural network DE Millán-Ocampo, A Parrales-Bahena, ... International Journal of Environmental Science and Technology, 1-10, 2022 | 4 | 2022 |
| Case Studies in Thermal Engineering AM Abed, K Sopian, HA Mohammed, MA Alghoul, MH Ruslan, S Mat, ... | 1 | 2014 |
| Enhancing Biodiesel Cetane Number Prediction Accuracy and Efficiency: A Comparative Study of Diverse Artificial Neural Network Architectures Using Integer and Conformable … J Johnson, A Mata, JA Hernández, A Parrales, A Rodriguez, ... Available at SSRN 4859766, 0 | | |
José Alfredo Hernández PérezUniversidad Autónoma del Estado de Morelos, Centro de Investigación en Ingeniería y CienciasVerified email at uaem.mx
