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Collecting, Representing, cOmpleting, merging and Querying heterogeneous and UncertaIn waStewater and stormwater network data – CROQUIS
researchers from Water Sciences and Artificial Intelligence will join forces in order to offer novel solutions
HiErarchIcal DIsaggregated Scheduling for beyond-5G networks – HEIDIS
models. As an initiative to drive openness and intelligence for the next-generation wireless networks, the [...] orchestration layer, where a non-real-time RAN Intelligent Control (Non-RT RIC) function takes long-term [...] (PoC) use both ONAP and ORAN. ONAP supports intelligent RAN optimization in non-real-time using data
Energy consumption measurements and optimization in mobile networks – ECOMOME
reduce their impact, we will propose network intelligence solutions, which are based on observing the [...] energy consumption (UP Timisoara) and network intelligence (IMDEA Networks Madrid). The results of the [...] provide a new modelling approach and new network intelligence solutions to the academic and industrial community
Human-Machine Shared Control for Intelligent Safety and Energy of Smart Vehicles – HM-Science
HM-Science (Human-Machine Shared Control for Intelligent Safety and Energy of Smart Vehicles) is to develop
Supply Chain REconfiguraBility for glObal cRises resilieNce – SC-Reborn
research fields will be deployed: Artificial Intelligence, Discret Event Systems and Supply Chain Risk
Active and batch Segmentation, Clustering, and seriation: toward unified foundations in AI – ASCAI
learning, and more generally, of artificial intelligence. In a broad sense, it amounts to learning some
Artificial Intelligence for Atomic resolution and Real-time in situ Transmission Electron Microscopy – ARTEMIA
Many imaging techniques, particularly in environmental transmission electron microscopy (ETEM), generate images with degraded signal-to-noise ratio, contrast and spatio-temporal resolution, which hamp
Predicting the biodiversity of reef fishes – FISH-PREDICT
developing new algorithms and methods in Artificial Intelligence (AI) integrating multiple sources of information
Experiencing music in the time of COVID: resisting, adapting, innovating. – MUSICOVID
authorities, favouring the dynamisms of collective intelligence; to provide concrete solutions and tools in [...] resistance, innovation), by making collective intelligence a source of shared profit to prepare for the
SYnchronized Low power Versatile Acoustic Network Including Artificial intelligence – SylvanIA
acoustic emissions from each node), distributed intelligent sensor network (innovation 2). Each node will [...] will have a large frequency band and versatile intelligent triggers (innovation 3) by joint research between