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System On Chip Design leveraging Artificial Intelligence – SODA
Modern Day SoCs (System-on-Chips) are extremely complex systems comprising of billions of transistors, which have to be optimized for physical constraints, and verified for guaranteed bug-free operation. To manage this level of complexity, the use of automated methods, and traditional machine-learni
Naval Artificial Intelligence Autonomous Drones – NAIAD
Traditionally, the navigation and localisation capability of drones has been placed in the background of technological solutions capable of ensuring better localisation. NAIAD aims to overcome the limitations caused by uncertain location by using automatic artificial intelligence planning techniques
Large-scale coin die studies with artificial intelligence – STUDIES
In the domain of numismatics and ancient economy, there is a long expressed and large expectation to estimate the volumes of produced coinage. Study of coin-finds and hoards not being reliable, die studies are the best way to understand the mint outputs and therefore the relation of coinage to Polit
Explicit Voice Attributes – EVA
Describing a voice in a few words remains a very arbitrary task. We can speak with a "deep", "breathy" or "hoarse" voice, but the full characterization of a voice would require a close set of rigorously defined attributes constituting an ontology. However, such a description grid does not exist. Ma
Fluorinated Cyclopropane Amino Acids: from Synthesis to structural Implication in peptides for biological Applications – FLUORAAC
The FLUORAAC project aims to develop original accesses to cyclopropane amino acids bearing fluorinated groups (CF3, CF2H and CH2F) or a fluorine atom from nitro diazo acetates and alkenes bearing a fluorinated group. Other methodologies from diazo compounds bearing a CF3 or CF2H group and from an al
Data-driven hybrid hydrological models: revisiting the role of river basins as information providers for a better assessment of risks and water resources – DRHYM
Hydrological models which represent the catchment behaviour in transforming climate inputs into streamflow and other hydrological variables are still of limited efficiency, in spite of long terms efforts to improve their skills. As an example, the development of GR hydrological models started in the
Plasmonic ElectroChromic Materials for Dual-Band VIS-NIR Smart LABELling – PECLABEL
Active plasmonic devices have recently emerged as smart electronic and light management technologies with tunable optical characteristics. Highly doped metal oxide nanocrystals exhibit charge carrier densities leading to pronounced localized surface plasmon resonances (LSPR) in the near-infrared (NI
