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Polyanion delivery and protection systems against viral infections – TerminAnion
Current outbreak of SARS-CoV-2 virus and its social, health and economic impact put forward the need for i) potentially generic protection system that can be applied to both surfaces and persons to limit/eliminate transmission during the exponential phase of the outbreaks; ii) development of predict
Positive Plant-Plant interactions and spatial Patterns in Pyrenean Post-mine tailings – SixP
Mine tailings and mining residues are witnesses of past mining activities. Two simultaneous issues are raised by their presence. First, they represent a major source of contaminants that can be dispersed into the close environment. Second, iconic and rare plant associations develop spontaneously on
Practical algorithms for ontology-based data access – PAGODA
L’interrogation de données en présence d’ontologie a de nombreuses applications potentielles, mais d’importants défis fondamentaux doivent être surmontés avant que ces techniques puissent être largement adoptées. Ce projet cible les deux verrous scientifiques suivants : 1. Passage à l’éche
Precision AgriVoltaics for Carbon Neutrality Enhanced Production and Reduced Environmental Impact in Greenhouse – PAVER
The aim of this project is to design and develop an intelligent, robust, feasible and sustainable AIoT-Agrovoltaic platform/system capable of being deployed to any type of greenhouse, irrespective of climate and type of crop, in regions with limited access to the electrical grid and/or insufficient
Predicting Inner Wood Defects from Outer Bark Features – WoodSeer
Addressing the challenges of the ecological transition related to wood use requires characterizing wood supplies before the first transformation in order to make the best use of them before resorting to more energy-intensive and environmentally costly deconstruction-reconstruction processes. Thus, W
Predicting and detecting anomalies in a moving crowd without interruption – OKLOS
In the context of the 2024 Olympic Games and in public space in general, knowledge of the density of crowds and their movements appears crucial. To go beyond the current state of the art, we propose an innovative solution that combines the work of the EURECOM laboratory to transform the flow of ther
Predicting the biodiversity of reef fishes – FISH-PREDICT
Biodiversity and species’ habitats are deteriorating in most ecosystems worldwide, but perhaps nowhere more rapidly than on shallow-water reefs that provide well-being and socioeconomic benefits to over 1.3 billion people globally. These coastal reefs host over 30,000 fish species, which are the mai
Prediction Of Relapse Through Artificial Intelligence and multi-omics after allogeneic hematopoietic stem cell transplantation – PORTRAIT
Allogeneic hematopoietic stem cell transplantation (alloHSCT) is a curative therapy for hematologic malignancies through the graft-versus-tumor (GVT) effect. However, relapse remains the leading cause of post-transplant mortality. Two main mechanisms contribute to relapse: tumor-intrinsic immune esc
Prediction and Intelligent Control with Simulation and Numerical Optimization – PRECCISION
PRECCISION project aims at developing software components including modeling tools based on building physics, model reduction techniques, identification and inverse modeling methods and optimization algorithms. Some developments will also concern a software front-end in order to provide useful infor
Prediction of cerebral injury secondary to endovascular recanalization of acute ischemic stroke – PRECISE-STROKE
Acute Brain Infarction complicating large vessel occlusion (LVO-AIS) are one of the first causes of neurological dependency and death in Europe. Their incidence is expected to increase by 20% in the next 10 years. Endovascular recanalisation (EVT) has revolutionized their management. It was initiall
