Scientific Data Mining
This project performs the data collection of scientific text using web scraping. Unstructured data is analyzed using NLP techniques and transformers.
This project performs the data collection of scientific text using web scraping. Unstructured data is analyzed using NLP techniques and transformers.
In this work, a predictive model of parking availability is developed to improve the vehicle parking experience in Freiburg in Baden-Württemberg. Germany. In the posterior stage, the model will be integrated into a new app, informing the customer of the slot availability at arrival time.
In this project, big data from wind turbine is analyzed and integrated. Multiple machine learning algorithms are tested to model power generation based on wind conditions.