Intereses de investigación actuales:
Inteligencia artificial aplicada a la industria, aprendizaje automático, previsión, sistemas de visión y sistemas de producción distribuida.
S. Gomes Soares Alcalá, V.L. de Nicolás, A.J. López López, M. Ventosa, "A Multi-Criteria and Empirical Study for Determining the Influencing Factors of Generative Artificial Intelligence Adoption in Companies", Systems Research and Behavioral Science, Vol. 43, nº. 2, pp. 750 - 772, Marzo 2026. [Online: Noviembre 2025] doi: 10.1002/sres.3215
F.M. do Amaral Filho, S. Galvão Bandeira, S. Gomes Soares Alcalá, T.M. Barbosa, "Um estudo comparativo de ensembles híbridos para aplicações deprevisão de séries temporais", Revista Brasileira de Computação Aplicada, Vol. 13, nº. 2, pp. 58 - 72, Julio 2021. [Online: Julio 2021] doi: 10.5335/rbca.v13i2.12067
P.H. de Brito Souza, I. Machado Brito Souza, S. Gomes Soares Alcalá, P. Valverde de Oliveira Vitorino, A. Ferreira da Rocha, T.M. Barbosa, "Video-based photoplethysmography and machine learning algorithms to achieve pulse wave velocity", International Journal of Biotech Trends and Technology, Vol. 11, nº. 1, pp. 7 - 15, Marzo 2021. doi: 10.14445/22490183/IJBTT-V11I1P602
G. de Melo Junior, S. Gomes Soares Alcalá, G. Pereira Furriel, S.L. Vieira, "Missing data analysis using machine learning methods to predict the performance of technical students", Revista Brasileira de Computação Aplicada, Vol. 12, nº. 2, pp. 134 - 143, Julio 2020. [Online: Julio 2020] doi: 10.5335/rbca.v12i2.10565
I. Costa, L. Mendonça, M. de Freitas, T.M. Barbosa, S. Gomes Soares Alcalá, "Object defect detection based on a vision system with a microcontroller and an artificial neural network", Journal of Engineering and Technology for Industrial Applications, Vol. 6, nº. 23, pp. 4 - 12, Junio 2020. doi: https://dx.doi.org/10.5935/2447-0228.20200017
R. Vita, N. Caldas, J.P. Tavares Vieira Basto, S. Gomes Soares Alcalá, F. Diniz, "An IIoT-based architecture for decision support in the aeronautic industry", presentado en 9th EASN International Conference on Innovation in Aviation & Space, Atenas, Grecia, 03-06 septiembre 2019. En: MATEC Web of Conferences, vol. 304, pp. 04004-1/04004-8, doi: 10.1051/matecconf/201930404004