Sistemas Embebidos Inteligentes
Dr. Alejandro Castañeda-Miranda
Artículos JCR recientes (2017-2020)
- Castañeda-Miranda, A., Castaño, V.M. (2020) Smart frost measurement for anti-disaster intelligent control in greenhouses via embedding IoT and hybrid AI methods, Measurement, 164, 108043 (https://doi.org/10.1016/j.measurement.2020.108043)
- Castañeda-Miranda, A., Castaño, V.M. (2020) Internet of things for smart farming and frost intelligent control in greenhouses, Computers and Electronics in Agriculture, 176, 105614 (https://doi.org/10.1016/j.compag.2020.105614)
- Castañeda-Miranda, A., Castaño, V.M. (2020) An Innovative Algebraic-Analytic Model in Frequency Domain for Photodiodes Characterization, Materials Testing, 62(2), 210–216 (https://doi.org/10.3139/120.111471)
- Castañeda-Miranda, A., Icaza, M., Castaño, V.M. (2019). Meteorological temperature and humidity prediction from Fourier-statistical analysis of hourly data, Advances in Meteorology, Volume 2019, Article ID 4164097. (https://doi.org/10.1155/2019/4164097)
- Castañeda-Miranda, A., Alemán-Ayala, K., Castaño, V.M (2019). A Novel Virtual Croplands Erosion Measurement System using a Threedimensional Laser Scanner and Empirical Kostiakov-Lewis Models, Optics & Laser Technology, 117, 316-332. (https://doi.org/10.1016/j.optlastec.2019.04.038)
- Olivares-Ramírez, M., Dector, A., Duarte-Möller, A., Ortega Díaz, D., Dector, D., Cano López, J.A., Rangel Martínez, R, Perez Bueno, J.J., Castañeda-Miranda, A., Tovar-Pacheco, F.S. (2019). Characterization and simulation of composite materials based on organic fiber as its possible use in the automotive sector as a thermal barrier, Advances in Materials Science and Engineering (AMSE), Volume 2019, Article ID 9421289 (https://doi.org/10.1155/2019/9421289)
- Castañeda-Miranda, A., Castaño, V.M. (2018). Design and construction of an Embedded Fuzzy-Optical System to characterize Metamaterials. Reviews on Advanced Materials Science Journal, 55(1), 35–49. (https://doi.org/10.1515/rams-2018-0026)
- Castañeda-Miranda, A., Castaño, V.M. (2017). Smart Frost Control in Greenhouses by Neural Networks Models. Computers and Electronics in Agriculture, 137, 102–114. (https://doi.org/10.1016/j.compag.2017.03.024 )
- Castañeda-Miranda, A., Castaño, V.M. (2017). Modelling of the dynamics of non-Radiative Energy Transfer in Tm3+, Tb3+: LiYF4- based electronic materials. Journal of Electronic Materials (JEMS), 46, 1-5. (https://doi.org/10.1007/s11664-017-5514-9)
OBJETIVO:
Desarrollar equipo inteligente para investigación en aplicada, mediante proyectos vinculados con la industria e impartir cátedras para difundir el desarrollo tecnológico con proyectos dentro de instituciones educativas. https://www.researchgate.net/profile/Alejandro_Castaneda-Miranda
Artículos JCR recientes (2017-2020)
- Castañeda-Miranda, A., Castaño, V.M. (2020) Smart frost measurement for anti-disaster intelligent control in greenhouses via embedding IoT and hybrid AI methods, Measurement, 164, 108043 (https://doi.org/10.1016/j.measurement.2020.108043)
- Castañeda-Miranda, A., Castaño, V.M. (2020) Internet of things for smart farming and frost intelligent control in greenhouses, Computers and Electronics in Agriculture, 176, 105614 (https://doi.org/10.1016/j.compag.2020.105614)
- Castañeda-Miranda, A., Castaño, V.M. (2020) An Innovative Algebraic-Analytic Model in Frequency Domain for Photodiodes Characterization, Materials Testing, 62(2), 210–216 (https://doi.org/10.3139/120.111471)
- Castañeda-Miranda, A., Icaza, M., Castaño, V.M. (2019). Meteorological temperature and humidity prediction from Fourier-statistical analysis of hourly data, Advances in Meteorology, Volume 2019, Article ID 4164097. (https://doi.org/10.1155/2019/4164097)
- Castañeda-Miranda, A., Alemán-Ayala, K., Castaño, V.M (2019). A Novel Virtual Croplands Erosion Measurement System using a Threedimensional Laser Scanner and Empirical Kostiakov-Lewis Models, Optics & Laser Technology, 117, 316-332. (https://doi.org/10.1016/j.optlastec.2019.04.038)
- Castañeda-Miranda, A., Castaño, V.M. (2017). Smart Frost Control in Greenhouses by Neural Networks Models. Computers and Electronics in Agriculture, 137, 102–114. (https://doi.org/10.1016/j.compag.2017.03.024)