Performance Evaluation of Clustering Algorithms on GPUs. - Juan Morales-García; Antonio Llanes; Baldomero Imbernón; José M. Cecilia (Intelligent Environments (Workshops), 2020)

Evaluation of Clustering Algorithms on GPU-Based Edge Computing Platforms. - José M. Cecilia; Juan-Carlos Cano; Juan Morales-García; Antonio Llanes; Baldomero Imbernón (Sensors, 2020)

A Decision Support System for Water Optimization in Anti-Frost Techniques by Sprinklers. - Miguel A. Guillén-Navarro; Raquel Martínez-España; Andrés Bueno-Crespo; Juan Morales-García; Belén Ayuso; José M. Cecilia (Sensors, 2020)

Time series analysis for temperature forecasting using TinyML. - Maria Francesca Alati; Giancarlo Fortino; Juan Morales-García; José M. Cecilia; Pietro Manzoni (CCNC, 2022)

Evaluation of time-series libraries for temperature prediction in smart greenhouses. - Santiago Ruiz; Juan Morales-García; Carlos T. Calafate; Juan-Carlos Cano; Pietro Manzoni; José M. Cecilia (Intelligent Environments, 2022)

An Exploratory Data Analysis for League of Legends Professional Match Data. - Juan Morales-García; Antonio Llanes; Manuel Curado; Francisco Arcas-Túnez (Intelligent Environments (Workshops), 2023)

Greenhouse intelligent warning system for precision agriculture. - Diego Padilla-Quimbiulco; Juan Morales-García; Magdalena Cantabella; Belén Ayuso; Andrés Muñoz 001; José M. Cecilia (IE, 2023)

Data-driven evaluation of machine learning models for climate control in operational smart greenhouses. - Juan Morales-García; Andrés Bueno-Crespo; Raquel Martínez-España; José M. Cecilia (J. Ambient Intell. Smart Environ., 2023)

Using remote GPU virtualization techniques to enhance edge computing devices. - José M. Cecilia; Juan Morales-García; Baldomero Imbernón; Javier Prades; Juan-Carlos Cano; Federico Silla (Future Gener. Comput. Syst., 2023)

Evaluation of low-power devices for smart greenhouse development. - Juan Morales-García; Andrés Bueno-Crespo; Raquel Martínez-España; Juan-Luis Posadas; Pietro Manzoni; José M. Cecilia (J. Supercomput., 2023)

SEPARATE: A tightly coupled, seamless IoT infrastructure for deploying AI algorithms in smart agriculture environments. - Juan Morales-García; Andrés Bueno-Crespo; Raquel Martínez-España; Francisco J. García; Sergio Ros; Julio Fernández-Pedauye; José M. Cecilia (Internet Things, 2023)

Evaluation of synthetic data generation for intelligent climate control in greenhouses. - Juan Morales-García; Andrés Bueno-Crespo; Fernando Terroso-Sáenz; Francisco Arcas-Túnez; Raquel Martínez-España; José M. Cecilia (Appl. Intell., 2023)

Diagnosis of Cervical Cancer Using a Deep Learning Explainable Fusion Model. - Andrés Bueno-Crespo; Raquel Martínez-España; Juan Morales-García; Ana Ortiz-González; Baldomero Imbernón; José Martínez-Más; Daniel Rosique-Egea; Mauricio A. Álvarez (IWINAC (2), 2024)

GreenhouseGuard: Enabling real-time warning prediction for smart greenhouse management. - Juan Morales-García; Diego Padilla-Quimbiulco; Magdalena Cantabella; Belén Ayuso; Andrés Muñoz 001; José M. Cecilia (J. Ambient Intell. Smart Environ., 2024)

A multi-model deep learning approach to address prediction imbalances in smart greenhouses. - Juan Morales-García; Fernando Terroso-Sáenz; José M. Cecilia (Comput. Electron. Agric., 2024)

Nationwide Air Pollution Forecasting with Heterogeneous Graph Neural Networks. - Fernando Terroso-Saenz; Juan Morales-García; Andrés Muñoz 001 (ACM Trans. Intell. Syst. Technol., 2024)

Segmentation Techniques Applied to CNNs for Cervical Cancer Classification. - Ana Ortiz-González; Raquel Martínez-España; Juan Morales-García; Baldomero Imbernón; José Martínez-Más; Mauricio A. Álvarez; Oscar David Romero; Juan-Pedro Martínez-Cendán; Andrés Bueno-Crespo (IEEE Access, 2025)

Exploiting synthetic data generation to enhance pollution prediction. - Juan Morales-García; Emilio Ramos-Sorroche; Sara Balderas-Díaz; Gabriel Guerrero-Contreras; Andrés Muñoz 001; José Santa; Fernando Terroso-Sáenz (Appl. Soft Comput., 2025)

An Analysis of Synthetic Timeseries as an Enabler to Improve Region-based Human Mobility Forecasting. - Juan Morales-García; Fernando Terroso-Sáenz; Andrés Bueno-Crespo; José M. Cecilia (J. Univers. Comput. Sci., 2025)

Climaticpark-py - A python framework for the climatic simulation of vehicular parking lots. - Hyacinthe-Marie Nshuti; Juan Morales-García; Andrés Muñoz 001; Pedro J. Navarro; Diego Alonso; Pedro Sánchez; Bárbara Álvarez; Fernando Terroso-Saenz (SoftwareX, 2025)