Fusion of deep learning models for temporal data to obtain more effective and efficient models to be applied in real time
Project Category: Time Series
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Time series analysis
Machine learning techniques for earthquakes and environmental pollution time series forecasting.
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Big Time – Aware Data
Development of machine learning models for massive and time-indexed data analysis.
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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.