Publicaciones

Tesis Doctorales

Samantha Orlando. Análisis del aprendizaje de los estudiantes en un entorno educativo con actividades de robótica. Directores: Elena Gaudioso y Félix de la Paz. 2021. Programa de Doctorado en Sistemas Inteligentes. Universidad Nacional de Educación a Distancia (España).

Yolanda Matas Martín. Una aplicación adaptativa integral para el entrenamiento visual online de niños con baja visión. Directores: Elena Gaudioso y Félix Hernández Del Olmo. 2021. Programa de Doctorado en Sistemas Inteligentes. Universidad Nacional de Educación a Distancia (España).

Francisco Javier Hernández Martín. Optimización de predictores de disrupciones en espacios bidimensionales. Directores: S. Dormido-Canto y J. Vega. 2020. Programa de Doctorado en Ingeniería de Sistemas y de Control. Universidad Nacional de Educación a Distancia (España).

Álvaro Antonio Olmedo Rodríguez. Modelos de clasificación con medidas de confianza en predictores conformales aplicados a imágenes de fusión nuclear. Directores: S. Dormido-Canto y J. Vega. 2020. Programa de Doctorado en Ingeniería de Sistemas y de Control. Universidad Nacional de Educación a Distancia (España).

Publicaciones en revista dentro del ámbito docente

A.M. Taj, E. Fabregas, A. Abouhilal, N. Taifi, and A. Malaoui, Comparative Study of Traditional, Simulated and Real Online Remote Laboratory: Student’s Perceptions in Technical Training of Electronics. International Journal of Online & Biomedical Engineering, 17(5), 2021, DOI: 10.3991/ijoe.v17i05.21949.

S. Orlando, E. Gaudioso and F. De La Paz. Supporting Teachers to Monitor Student’s Learning Progress in an Educational Environment With Robotics Activities. IEEE Access, vol. 8, pp. 48620-48631, 2020, doi: 10.1109/ACCESS.2020.2978979.

B. Díaz-Lauzurica; D. Moreno-Salinas. Computational Thinking and Robotics: A Teaching Experience in Compulsory Secondary Education with Students with High Degree of Apathy and Demotivation. Sustainability 2019, 11, 5109.

G. Farias, E. Fabregas, E. Peralta, H. Vargas, S. Dormido-Canto, S. Dormido. Development of an easy-to-use multi-agent platform for teaching mobile robotics. IEEE Access, vol. 7, Issue 1, pp. 55885-55897, 2019, ISSN: 2169-3536, DOI: 10.1109/AC-CESS.2019.2913916.

Y. Matas, F. Hernández-Del-Olmo, E. Gaudioso and C. Santos. An Adaptive, Comprehensive Application to Support Home-Based Visual Training for Children With Low Vision. IEEE Access, vol. 7, pp. 169018-169028, 2019, doi: 10.1109/ACCESS.2019.2954953."

D. Galan, D. Chaos, L. de la Torre, E. Aranda-Escolástico, R. Heradio. A general tool for customizing online laboratory experiments and its application to the Furuta inverted pendulum system. IEEE Control Systems Magazine 39(5), 75-87, 2019.

Publicaciones en revista dentro del ámbito del aprendizaje automático y la ciencia de datos

D. Gadariya, J. Vega, C. Stuart, G A Ratta, P. Card, A. Murari and S. Dormido-Canto, "Performance Analysis of the Centroid Method Predictor Implemented in the JET Real Time Network", Plasma Physics and Controlled Fusion 64 114003, 2022. DOI 10.1088/1361-6587/ac963f.

J. F. Navarro-Iribarne, D. Moreno-Salinas, J. Sánchez-Moreno. "Low-cost portable system for measurement and representation of kinematic parameters in 3D". Sensors 2022, 22(23), 9408; https://doi.org/10.3390/s22239408

J. Vega, A. Murari, S. Dormido-Canto, G. A. Rattá, M. Gelfusa and JET Contributors: Disruption prediction with artificial intelligence techniques in tokamak plasmas, https://doi.org/10.1038/s41567-022-01602-2, Nature Physics volume 18, pages 741–750, 2022.

V. Ruiz-Parrado, R. Heradio, E. Aranda-Escolastico, Á. Sánchez, J. F. Vélez. A Bibliometric Analysis of Off-line Handwritten Document Analysis Literature (1990-2020). Pattern Recognition, 108513, 125, 1-23, 2022.

S. Bañales, R. Dormido, N. Duro. Smart meters time series clustering for demand response applications in the context of high penetration of renewable energy resources. Energies 2021, 14, 3458.

G. Montenegro, R. Chacón, E. Fabregas, G. Garcia, K. Schröder, A. Marroquín, S. Dormido-Canto and G. Farias. Modelling and Control of a Spherical Robot in the CoppeliaSim Simulator. Sensors, vol. 22, no. 16, pp. 1-18, 2022, DOI: 10.3390/s22166020.

F. Quiroga, G. Hermosilla, G. Farias, E. Fabregas, G. Montenegro. Position Control of a Mobile Robot through Deep Reinforcement Learning. Applied Sciences, vol. 12, no. 14, pp. 1-18, 2022, DOI: 10.3390/app12147194. 

S. Cuéllar, P. Aguayo, E. Fabregas, M. Curé, S. Dormido-Canto, G. Farias. Deep learning exoplanets detection by combining real and synthetic data. PLOS ONE, vol. 15, no. 5, 2022, DOI: 10.1371/journal.pone.0268199.

S. Ripoll, V. Bayarri, F. Muñoz, R. Ortega, E. Castillo, J. Latova, J. Herrera, D. Moreno-Salinas, I. Martín. "Hands Stencils in El Castillo Cave (Puente Viesgo, Cantabria, Spain). An Interdisciplinary Study". Proceedings of the Prehistoric Society, 87, 51-71, 2021. doi:10.1017/ppr.2021.11

H. Ramirez, S.A. Velastin, P. Aguayo, E. Fabregas, G. Farias. Human Activity Recognition by Sequences of Skeleton Features. Sensors, vol. 22, no. 11, 2022, DOI: 10.3390/s22113991.

G. Farias, E. Fabregas, I. Martínez, J. Vega, S. Dormido-Canto, H. Vargas. Nuclear Fusion Pattern Recognition by Ensemble Learning. Complexity, 2021, DOI: 10.1155/2021/1207167. 

H. Ramirez, S.A. Velastin, I. Meza, E. Fabregas, D. Makris, G. Farias. Fall detection and activity recognition using human skeleton features. IEEE Access, vol. 9, pp. 33532-33542, 2021, ISSN: 2169-3536, DOI: 10.1109/AC-CESS.2021.3061626. 

R. Cajo, M. Guinaldo, E. Fabregas, S. Dormido, D. Plaza, R. De Keyser, C. Ionescu. Distributed Formation Control for Multiagent Systems Using a Fractional-Order Proportional-Integral Structure. IEEE Transactions on Control Systems Technology, pp. 1-112021, 2021. ISSN: 1063-6536, DOI: 10.1109/TCST.2021.3053541.

R. Bañales, R. Dormido, N. Duro. "Smart meters time series clustering for demand response applications in the context of high penetration of renewable energy resources" Energies 2021, 14, 3458. https://doi.org/10.3390/en14123458

S. González, S. Dormido-Canto, J. Sánchez. Obtaining high preventive and resilience capacities infraestructure by industrial automation cells. International Journal of Critical Infraestructure Protection, vol. 29, 100355, pp: 1-16, 2020, ISSN: 1874-5482, DOI: 10.1016/j.ijcip.2020.100355

J. Vega, R. Castro, S. Dormido-Canto, G. A. Rattá, M. Ruíz. Automatic recognition of plasma revelant events: Implications for ITER. Fusion Engineering and Design, vol. 156, 111638, pp:1-5, ISSN 0920-3796, 2020, DOI: 10.1016/j.fusengdes.2020.111638

E. Fabregas, G. Farias, E. Aranda-Escolástico, G. Garcia, D. Chaos, S. Dormido-Canto, S. Dormido. Simulation and experimental results of a new control strategy for point stabilization of nonholonomic mobile robots. IEEE Transactions on Industrial Electronics, vol. 67, Issue 8, pp. 1-9, 2020, ISSN: 0278-0046, DOI: 10.1109/TIE.2019.2935976.

G. Farias, E. Fabregas, S. Dormido-Canto, J. Vega, S. Vergara. Automatic recognition of anomalous patterns in discharges by recurrent neural networks. Fusion Engineering and Design, vol. 154, 111495, ISSN 0920-3796, pp. 1-5, 2020, DOI: 10.1016/j.fusengdes.2020.111495.

G. Farias, E. Fabregas, E. Torres, G. Bricas, S. Dormido-Canto, S. Dormido. A Distributed Vision-Based Navigation System for Khepera IV Mobile Robots. Sensors, vol. 20, no. 18, pp. 1-19, 2020, ISSN: 1424-8220, DOI:10.3390/s20185409.

G. Farias, E. Fabregas, S. Dormido-Canto, J. Vega, S. Vergara. Automatic recognition of anomalous patterns in discharges by applying Deep Learning. Fusion Science and Technology, vol.76, Issue 8, pp. 1-8,2020, Taylor &Francis, DOI:10.1080/15361055.2020.1820804. 2020, ISSN: 1536-1055.

G. Farias, G. Garcia, G. Montenegro, E. Fabregas, S. Dormido-Canto, S. Dormido. Reinforcement learning for position control problem of a mobile robot. IEEE Access, vol. 8, pp. 152941-152951, 2020, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2020.3018026.

F. Hernández del Olmo, E. Gaudioso, N. Duro, R. Dormido. Machine Learning Weather Soft-Sensor for Advanced Control of Wastewater Treatment Plants. Sensors 2019, 19(14), 3139.

G. Farias, E. Fabregas, A. Díaz-Barrera, B. Ponce, C. Castro, S. Dormido-Canto. Automatic Control for the Production of Alginate by Azotobacter Vinelandii. IEEE Access, vol. 7, Issue 1, pp. 1-7, 2019, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2019.2954180.

D. Moreno-Salinas, R. Moreno, A. Pereira, J. Aranda, J. M. de la Cruz, Modelling of a surface marine vehicle with kernel ridge regression confidence machine. Applied Soft Computing, Volume 76, 2019, Pages 237-250, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2018.12.002.

R. Moreno, D. Moreno-Salinas, J. Aranda. Black-Box Marine Vehicle Identification with Regression Techniques for Random Manoeuvres. Electronics 2019, 8, 492.

Socas R., Dormido R., Dormido S. “New Control Paradigms for Resources Saving: An Approach for Mobile Robots Navigation”, Sensors, 18, pp. 281-281, 2018. ISSN 1424-8220. 

J. M. Solano-Altamirano, Alejandro Vázquez-Otero, Danila Khikhlukha, Raquel Dormido, Natividad Duro. Using Spherical-Harmonics Expansions for Optics Surface Reconstruction from Gradients. Sensors, 2017, 17(12), 2780. doi:10.3390/s17122780. 

Mur A., Dormido R., Duro N., Mercader D. An unsupervised method to determine the optimal number of independent components. Expert Systems with Applications, 2017, Vol. 75, pp: 56-62.  ISSN: 0957-4174. Ed: Elsevier. http://dx.doi.org/10.1016/j.eswa.2017.01.015.