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wateR cyclE For RESilient Heritage – REFRESH
Cultural heritage, as represented by collections in museums and the built environment, is a unique resource in socio-cultural and economic terms. Climate change will lead to extreme events such as droughts and floods, severe storms and heat waves occurring more frequently across Europe. While the im
GraphRec: Efficient and Scalable Recursive Programming with Graphs – GraphRec
Large graph data structures are increasingly used in many areas such as transportation networks, healthcare (drug interactions), cryptocurrencies (blockchain transactions), social networks, knowledge management, etc. Recursive programs constitute a very powerful means to extract valuable information
Feasibility and interest of microwave heating for the disinsectisation of stored cereals – GRANIonde
In response to the global challenge of reducing the use of plant protection products in storage and to meet the needs of operators to have complementary physical curative control methods alongside the prophylactic methods already in place (cooling of grain, insecticide treatment of premises, cleanin
Development of a new Biocontrol Agent to reduce AflaToxin B1 contamination in maize crops for sustainable agriculture – DEBAAT
This project aims to develop the first biocontrol agent (BCA) from bacterial origin to effectively control aflatoxin B1 (AFB1) contamination of maize crops. AFB1 is a human carcinogenic mycotoxin produced by Aspergillus flavus, a filamentous fungus, emerging on maize in Europe and in France in respo
Fuel Cell Systems and aiR flOw conTrol for grOund tRansportation – FCS-ROTOR
In 2018, transportation accounted for 29% of the GreenHouse Gas (GHG) emissions in the European Union (EU), 71% of which coming from ground transportation. To mitigate the environmental impact of transportation, the EU has targeted a 90% reduction in GHG emissions by 2050 (compared to 1990 levels).
EXtremes, STatistical learning and Applications – EXSTA
Extreme Value Theory (EVT) is the branch of probability and statistics concerned with rare events associated with distributional tails, with numerous applications in various scientific fields where extreme events are of special interest, and in risk management. The most recent years have seen an in
Reducing PGM content for efficient PEM-Water-Electrolysis by 3D porous catalyst engineering and bottom-up electrode design. – 3DCatforPEM
Proton exchange membrane water electrolysis (PEMWE) is the most advanced technology enabling high purity, high pressure, green H2 production from renewable energies. In current PEMWE, both electrodes (anode and cathode catalyst layers) contain large loadings of platinum-group-metal-based catalysts,
Learning Boltzmann Distributions for Combinatorial Optimization – ComBo
This project is at the interface of statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and evolutionary). Its originality is to propose a coupling between the two types of approaches, based on 3 modules: i/ the search for a continuous embedding of the comb
High energy density thermochemical heat storage for district heating networks – Stock-HD
The Stock-HD project aims at developing the use of renewable energies and improving the performance of district heating networks. It aims to develop a thermo-chemical heat storage system with high energy density (based on chemical sorption) at temperatures compatible with its integration in district
Online Deep anomaly Detection – ODD
Anomaly detection is a challenge per se. It is unsupervised by nature, as abnormal events are rare, varied, and cumbersome to collect. By exploring deep neural networks for representation learning, the main categories of anomaly detection methods are deep one-class classifiers, autoencoders, generat
