ADMM Machine Learning Algorithms
This is an open-source implementation of the Alternating Direction Method of Multipliers (ADMM)[1] optimization algorithm that relies on CVXPY[2], a Python-based toolbox for
OptiqueVQS
OptiqueVQS is a visual query formulation tool for expressing information needs in terms of queries over ontologies. OptiqueVQS is composed of an interface and a navigation graph extracted from the underlying ontologies.
ELASTIC: A Software Architecture for Extreme-ScaLe Big-Data AnalyticS in Fog CompuTIng ECosystems
Big data technologies are nowadays being integrated in systems that are required to process a vast amount of information from geographically distributed data sources.
DataBio – Datadriven genomic prediction
Big data-driven genomic prediction and selection algorithms (GS) designed as a solution to the technological limitations (costly and time-consuming) met with current breeding approaches. The intention is to proceed with a value proposition to plant breeding entities locally and globally.
DataBio Agri–Insurance tools and services for the agricolture insurance market
Insurance in the agri-food sector deals with the increasing demand for agricultural insurance products and is expected to play a vital role in the forthcoming years as a tool for risk management.
Urban traffic fluency model
A comprehensive city traffic model based on various diferent data sources. The model can be used e.g to present traffic situation of the street network on a map user interface or to generate traffic incident data to other applications.
Traffic micro-simulation models in city centres
Freight delivery within the city has a great impact on traffic flow and is responsible for traffic congestion to a high extent. Central areas of the city face a number of situations every day: