Design of energy-efficient deep learning models for water and change climate
Project Category: Machine Learning
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IA for predictive maintenance
Anomalies detection for predictive maintenance of photovoltaic power plants
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WINDIAG: Predictive maintenance
Predictive modeling of wind turbine failures through artificial intelligence-based learning techniques.
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Analysis of energy efficiency with artificial intelligence techniques
Analysis of energy efficiency in non-residential buildings using metaheuristic and artificial intelligence techniques
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Efficient and Explainable learning
Design of efficient and explainable models in deep learning, transfer learning and online learning
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Machine learning for high frequency data
Algorithms and applications of machine learning for high frequency time series and temporal data streams
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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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AI for pest management
Development of machine learning models using images collected by drones.
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Time series analysis
Machine learning techniques for earthquakes and environmental pollution time series forecasting.
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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.