Journals

Celdran-Bernabeu, M. A., Mazón, J. N., Giner-Sánchez, D., Morales-García, J., & Peñarrubia-Zaragoza, M. P. (2026). Smart Tourism Destinations as open data providers: barriers and opportunities. Journal of Destination Marketing & Management, 40, 101065. https://doi.org/10.1016/j.jdmm.2025.101065 

Terroso-Sáenz, F., Morales-García, J., Puig-Cabrera, M., Martinez-del-Vas, G., & Muñoz, A. (2025). Tourist Mobility Forecasting with Region-based Flows and Hierarchical Spatial Tessellation. International Journal of Information Technology & Decision Making. https://doi.org/10.1142/S0219622026500185 

Morales-García, J., Llanes, A., Arcas-Túnez, F., & Terroso-Sáenz, F. (2025). Developing time series forecasting models with generative large language models. ACM Transactions on Intelligent Systems and Technology, 16(6), 1-12. https://doi.org/10.1145/3663485 

Hyacinthe, N., Morales-García, J., Muñoz, A., Navarro, P. J., Alonso, D., Sanchez, P. Álvarez, B, Terroso-Saenz, & F. (2025). Climaticpark-py - A Python Framework for the Climatic Simulation of Vehicular Parking Lots. SoftwareX, 31, 102271. https://doi.org/10.1016/j.softx.2025.102271 

Ruiz-Pozo, I., Morales-García, J., Aguirre-Mejía, C. X., & Serrano, A. (2025). Using Generative Artificial Intelligence to Improve User Engagement in Content Marketing. Journal of Universal Computer Science, 31(12). https://doi.org/10.3897/jucs.151691 

Morales-García, J., Terroso-Sáenz, F., Bueno-Crespo, A., & Cecilia-Canales, J. M. (2025). An Analysis of Synthetic Timeseries as an Enabler to Improve Region-based Human Mobility Forecasting. Journal of Universal Computer Science, 31(10). https://doi.org/10.3897/jucs.135198 

Ortiz González, A., Martínez España, R., Morales García, J., Imbernón Tudela, B., Martínez Más, J., Álvarez, M. A., Romero Humber, O. D., Martínez Cendrán, J. P., & Bueno Crespo, A. (2025). Segmentation Techniques Applied to CNNs for Cervical Cancer Classification. IEEE Access, 13, 74678-74688. https://doi.org/10.1109/ACCESS.2025.3562762 

Morales-García, J., Ramos-Sorroche, E., Balderas-Díaz, S., Guerrero-Contreras, G., Muñoz-Ortega, A., Santa-Lozano, J., & Terroso-Sáenz, F. (2025). Exploiting Synthetic Data Generation to Enhance Pollution Prediction. Applied Soft Computing, 175, 113076. https://doi.org/10.1016/j.asoc.2025.113076 

Morales-García, J., Ramos-Sorroche, E., Balderas-Díaz, S., Guerrero-Contreras, G., Muñoz, A., Santa, J., & Terroso-Sáenz, F. (2024). Reducing Pollution Health Impact with Air Quality Prediction Assisted by Mobility Data. IEEE Journal of Biomedical and Health Informatics. https://doi.org/10.1109/JBHI.2024.3508466 

Morales-García, J., Padilla-Quimbiulco, D., Cantabella, M., Ayuso, B., Muñoz, A., & Cecilia, J. M. (2024). GreenhouseGuard: Enabling real-time warning prediction for smart greenhouse management. Journal of Ambient Intelligence and Smart Environments, 16(3), 389-405. https://doi.org/10.3233/AIS-230359 

Terroso-Saenz, F., Morales-García, J., & Muñoz, A. (2024). Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks. ACM Transactions on Intelligent Systems and Technology, 15(1), 1-19. https://doi.org/10.1145/3637492 

Morales-García, J., Terroso-Sáenz, F., & Cecilia, J. M. (2024). A multi-model deep learning approach to address prediction imbalances in smart greenhouses. Computers and Electronics in Agriculture, 216, 108537. https://doi.org/10.1016/j.compag.2023.108537 

Morales-García, J., Bueno-Crespo, A., Terroso-Sáenz, F., Arcas-Túnez, F., Martínez-España, R., & Cecilia, J. M. (2023). Evaluation of synthetic data generation for intelligent climate control in greenhouses. Applied Intelligence, 53(21), 24765-24781. https://doi.org/10.1007/s10489-023-04783-2 

Morales-García, J., Bueno-Crespo, A., Martínez-España, R., García, F. J., Ros, S., Fernández-Pedauyé, J., & Cecilia, J. M. (2023). SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments. Internet of Things, 22, 100734. https://doi.org/10.1016/j.iot.2023.100734 

Cecilia, J. M., Morales-García, J., Imbernón, B., Prades, J., Cano, J. C., & Silla, F. (2023). Using remote GPU virtualization techniques to enhance edge computing devices. Future Generation Computer Systems, 142, 14-24. https://doi.org/10.1016/j.future.2022.12.038 

Morales-García, J., Bueno-Crespo, A., Martínez-España, R., & Cecilia, J. M. (2023). Data-driven evaluation of machine learning models for climate control in operational smart greenhouses. Journal of Ambient Intelligence and Smart Environments, 15(1), 3-17. https://doi.org/10.3233/AIS-220441 

Morales-García, J., Bueno-Crespo, A., Martínez-España, R., Posadas, J. L., Manzoni, P., & Cecilia, J. M. (2023). Evaluation of low-power devices for smart greenhouse development. The Journal of Supercomputing, 79(9), 10277-10299. https://doi.org/10.1007/s11227-023-05076-8 

García-Cremades, S., Morales-García, J., Hernández-Sanjaime, R., Martínez-España, R., Bueno-Crespo, A., Hernández-Orallo, E., ... & Cecilia, J. M. (2021). Improving prediction of COVID-19 evolution by fusing epidemiological and mobility data. Scientific Reports, 11(1), 15173. https://doi.org/10.1038/s41598-021-94696-2 

Guillén-Navarro, M. A., Martínez-España, R., Bueno-Crespo, A., Morales-García, J., Ayuso, B., & Cecilia, J. M. (2020). A decision support system for water optimization in anti-frost techniques by sprinklers. Sensors, 20(24), 7129. https://doi.org/10.3390/s20247129 

Cecilia, J. M., Cano, J. C., Morales-García, J., Llanes, A., & Imbernón, B. (2020). Evaluation of clustering algorithms on GPU-based edge computing platforms. Sensors, 20(21), 6335. https://doi.org/10.3390/s20216335