المؤلفون: Lopez-Ramirez, G.A., Aragon-Zavala, A., Vargas-Rosales, C.

المصدر: IEEE Access Access, IEEE. 12:62279-62295 2024

المؤلفون: Lopez-Ramirez, G.A., Aragon-Zavala, A.

المصدر: IEEE Access Access, IEEE. 11:95120-95142 2023

المؤلفون: Diago-Mosquera, M.E., Aragon-Zavala, A., Rodriguez, M.

المصدر: IEEE Antennas and Wireless Propagation Letters Antennas Wirel. Propag. Lett. Antennas and Wireless Propagation Letters, IEEE. 21(10):2055-2059 Oct, 2022

المؤلفون: Diago-Mosquera, M.E., Aragon-Zavala, A., Rodrigues-Lopez, A., Rodriguez, M.

المصدر: IEEE Wireless Communications Letters IEEE Wireless Commun. Lett. Wireless Communications Letters, IEEE. 11(9):2005-2009 Sep, 2022

المؤلفون: Diago-Mosquera, M., Aragon-Zavala, A., Azpilicueta, L., Shubair, R., Falcone, F.

المصدر: IEEE Antennas and Wireless Propagation Letters Antennas Wirel. Propag. Lett. Antennas and Wireless Propagation Letters, IEEE. 21(6):1218-1222 Jun, 2022

المؤلفون: Diago-Mosquera, M., Aragon-Zavala, A., Rodriguez-Corbo, F.A., Celaya-Echarri, M., Shubair, R., Azpilicueta, L.

المصدر: IEEE Antennas and Wireless Propagation Letters Antennas Wirel. Propag. Lett. Antennas and Wireless Propagation Letters, IEEE. 21(1):84-88 Jan, 2022

المؤلفون: Gongora-Torres, J.M., Vargas-Rosales, C., Aragon-Zavala, A., Villalpando-Hernandez, R.

المصدر: IEEE Access Access, IEEE. 10:14518-14528 2022

المؤلفون: Gustavo Adulfo Lopez-Ramirez, Alejandro Aragon-Zavala, Cesar Vargas-Rosales

المصدر: IEEE Access, Vol 12, Pp 62279-62295 (2024)

مصطلحات موضوعية: 5G, mmWave, path loss, wireless communications, exploratory data analysis, machine learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10510321/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/f35dfd35eb8645a09d1e3573b0cf1f22

المؤلفون: Gerardo Castanon, Alberto F. Martinez-Herrera, Ana Maria Sarmiento, Alejandro Aragon-Zavala, Fernando Lezama

المصدر: IEEE Access, Vol 12, Pp 29940-29958 (2024)

مصطلحات موضوعية: Nature-inspired algorithms, optimal power flow, optimization, penalty-vanishing terms, success rate, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/10440616/; https://doaj.org/toc/2169-3536

URL الوصول: https://doaj.org/article/6107a2fe2f264d0da9962fe5f3882aec

المؤلفون: Diago-Mosquera, M. E., Aragon-Zavala, A., Rodriguez, M.

المصدر: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), 2022 IEEE International Symposium on. :1914-1915 Jul, 2022

Relation: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/USNC-URSI)