Design, development and validation of an integrated and modular system configured as a platform for the optimization of port logistics process, providing solutions to the needs of the different interfaces in port environments.
Project Category: Machine Learning
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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.
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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.