Aeronautical Production Engineering optimizes production in the aviation industry, incorporating sustainability and Industry 4.0 technologies, aiming to develop a smart platform for engineering services.
Archives: Projects
Project
WINDIAG: Predictive maintenance
Predictive modeling of wind turbine failures through artificial intelligence-based learning techniques.
Project
SMART-O-LIVE: Efficient olive oil production models integrating all phases of obtaining olive oil in Andalusia, Spain
Efficient olive oil production models integrating all phases of obtaining olive oil in Andalusia, Spain.
Project
Analysis of energy efficiency with artificial intelligence techniques
Analysis of energy efficiency in non-residential buildings using metaheuristic and artificial intelligence techniques
Project
Automatic diagnosis of diabetic retinopathy
Automatic detection of diabetic retinopathy using neuroevolution algorithmse
Project
AI for automatic diagnosis of chorioretinitis
Automatic diagnosis of chorioretinitis due to toxoplasmosis in children using artificial intelligence techniques
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APIBOT: Artificial intelligence to detect pavement damage at airports
Design and development of a system based on deep learning for detecting and classifying pavement damage at airports from drone images.
Project
Deep learning fusion
Fusion of deep learning models for temporal data to obtain more effective and efficient models to be applied in real time
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Efficient and Explainable learning
Design of efficient and explainable models in deep learning, transfer learning and online learning
Project
Machine learning for high frequency data
Algorithms and applications of machine learning for high frequency time series and temporal data streams