Study of a use case that aims to evaluate the implementation of a dynamic traffic congestion management system in Barcelona.
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Highlighted projects ofinLab FIB
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Implementation of AI models capable of detecting patterns and alerting of a drop in quality level applied to Industry 4.0.
Nexus Geographics has contacted inLab FIB, as mobility experts, in order to carry out a consultancy and analysis for the improvement of the Mou-te tool.
Research and development of a pilot disruptive traffic model, which takes advantage of the possibilities of the latest advances in computing, communications and data sources.
The objective is to have a tool that is capable of representing the map of knowledge of the UPC and to be able to show areas of confluence of disciplines and emerging areas.
Generation of digital roses through artificial intelligence applied to art from deep learning models.
Design of new strategies, based on machine learning algorithms and data analysis, to improve the efficiency and performance of electric vehicle motors and batteries.
This project studies the feasibility of using QR codes in the food sector to provide end customers with more information and content about the products they buy.
Digitization of surveys for the detection of infectious diseases to see the results in a graphic and understandable way, as well as to be able to geolocate where they have been carried out.
Development of an algorithm for the assignment of shifts on duty of doctors in a hospital.
Optimization, automation and deployment of the monitoring platform developed by Apolo Analytics.
TINTIN is a tool to support SQL assertions in relational databases.