Journals

JDMM

IJTDM

SoftwareX. 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).

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., 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(9).

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 

Morales-García, J., Llanes, A., Arcas-Túnez, F., & Terroso-Sáenz, F. (2024). Developing time series forecasting models with generative large language models. ACM Transactions on Intelligent Systems and Technology. https://doi.org/10.1145/3663485 

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