Smart Home Publications

International Journals

1. M. Lupión, A. Polo-Rodríguez, J. Medina-Quero, J.F. Sanjuan, P.M. Ortigosa. On the limits of Conditional Generative Adversarial Neural Networks to reconstruct the identification of inhabitants from IoT low-resolution thermal sensors.  Expert Systems with Applications. 2022. JCR (2021) = 8,665. Subject categories = Computer Science,  Artificial Intelligence: 21/144 (Q1) ; Operations Research & Management Science: 8/87 (D1)(Q1); Engineering, Electrical & Electronics:  23/276 (D1)(Q1).

2. M. Lupión, J.F. Sanjuan, P.M. Ortigosa. Using a Multi-GPU node to accelerate the training of Pix2Pix neural networks. Journal of Supercomputing. 2022. JCR (2021) =2,557. Subject categories = Computer Science, Theory & Methods: 43/109 (Q2).

3. M. Lupión, J. Medina-Quero, J.F. Sanjuan, P.M. Ortigosa,  DOLARS, a Distributed On-Line Activity Recognition System by Means of Heterogeneous Sensor in Real-Life Deployments - A Case Study in the Smart Lab of the University of Almería", Sensors (2021), 21(2), 405, DOI 10.3390/s2102405. JCR(2020)= 3,576. Subject categories =Instrument & instrumentation 12/64

Proceedings of International Conferences

1. M. Lupión; J. F. Sanjuan; J. Medina-Quero; P.M. Ortigosa (2023). Epilepsy Seizure Detection Using Low-Cost IoT Devices and a federated Machine Learning Algorithm.  In: Julián, V., Carneiro, J., Alonso, R.S., Chamoso, P., Novais, P. (eds) Ambient Intelligence—Software and Applications—13th International Symposium on Ambient Intelligence. ISAmI 2022. Lecture Notes in Networks and Systems, vol 603. Springer.

2. M. Lupión, V. González-Ruiz, J.F. Sanjuan, J.  Medina-Quero, P.M. Ortigosa, (2022). Detection of Unconsciousness in Falls Using Thermal Vision Sensors. In: Daimi, K., Al Sadoon, A. (eds) Proceedings of the ICR’22 International Conference on Innovations in Computing Research. ICR 2022. Advances in Intelligent Systems and Computing, vol 1431. Springer.

3. A. Polo-Rodríguez, M. Lupión, P.M. Ortigosa, J. Medina-Quero (2022). Estimating Frontal Body Landmarks from Thermal Sensors Using Residual Neural Networks. In: Rojas, I., Valenzuela, O., Rojas, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2022. Lecture Notes in Computer Science(), vol 13346. Springer.

4. M. Lupión, N.C. Cruz, P.M. Ortigosa.  On analyzing a parallel multi-GPU framework for the architecture optimization of neural networks. CMMSE 2022. July 3-7. Rota, Spain.

5. M. Lupión, J.F. Sanjuan,  P.M. Ortigosa(2021).  Accelerating Pix2Pix training using a multi-gpu node. CMMSE 2021. July 22-27. Rota, Cádiz

6. M. Lupión, J.L. Redondo, J.F. Sanjuan, P.M. Ortigosa (2021). Deployment of an IoT Platform for Activity Recognition at the UAL’s Smart Home. In: Novais P., Vercelli G., Larriba-Pey J.L., Herrera F., Chamoso P. (eds) Ambient Intelligence – Software and Applications. ISAmI 2020. Advances in Intelligent Systems and Computing, vol 1239. Springer, Cham. https://doi.org/10.1007/978-3-030-58356-9_9

Proceedings of Spanish Conferences

1. M. Lupion, J. Medina-Quero, J.F. Sanjuan, J.L. Redondo, P. M. Ortigosa. Sistema distribuido de reconocimiento de actividades en tiempo real, DOLARS, Libro de actas de las Jornadas SARTECO 2021. Universidad de Málaga, Septiembre 2021.