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.
Project Category: Industry
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WINDIAG: Predictive maintenance
Predictive modeling of wind turbine failures through artificial intelligence-based learning techniques.
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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.
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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.
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DIGITAL PORT: Digital Platform for Port Logistics Services
Design, development and validation of an integrated and modular system configured as a platform for the optimization of port logistics process.
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EasyM2M: New communication protocols for Smart Cities creation
Development of a IoT-oriented infrastructure and systems to connect devices and processing of messages scaled for Big Data.
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CONBIDA: Big Data-based construction
Development of predictive models and data analytics to help making decisions in different processes related to the construction.
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ANAMERLEC: Data analytics for electricity market forecasting
Analysis and development of predictive models applied to forecasting of relevant variables in the electric market.
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AQUASIG: Water supply and urban consumption smart management system
Support and development of data analytics systems to help making decisions for water supply and urban consumption scenarios.
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IA2GIP: Artificial intelligence applied to pest management and control
Research and development of complex machine learning algorithms to provide accurate predictions for the evolution of the olive fly pest agent.