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Energy consumption measurements and optimization in mobile networks – ECOMOME
Through project ECOMOME, we propose to address the scientific challenges and societal concerns related to the environmental impact of mobile networks. For this, we define three specific objectives: - O1: Conduct the first independent study on mobile network energy consumption, considering both the
Sustainable Economies in the Era of Digitalisation – SEED
First, we will develop a conceptual and analytical framework in which technology mutually interacts with the sustainability paradigm, operationalised through the Sustainable Development Goals (SDGs) framework proposed by the United Nations, and public opinion and institutions act as mediators of the
eXplaining Competency and Autonomy development in Learning Environments – xCALE
With the advent of MOOCs, and the success of exercise-based platforms, large-scale online environments are becoming widespread, both in distant learning and in blended learning. Self-Regulated Learning (SRL) is known to have a good potential on autonomy development and on maintaining motivation fo
Rapid recOnfiguration of manufacturing systems: a model-baseD software engineering and human Interaction Coupled approach – RODIC
Reconfigurable manufacturing systems (RMS) are currently considered one of the most promising avenues for business adaptability in the face of significant uncertainty. The underlying idea is to be able to modify both the physical structure and the structure of the RMS's control system to enable it t
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
COrrosion Quantification Through Extended use of Lamb waves – COQTEL
Corrosion-fatigue damage (CC&F) is problematic in aeronautics. Anticipating them would reduce maintenance costs between 15% and 35%. Specific coatings are used to avoid them, but their performance remains limited under operational conditions. Current non-destructive control methods consist of visual
TopAI: Topological Data Analysis for Machine Learning and AI – TopAI
The recent years have seen all domains of science, economy and even everyday life overwhelmed by massive amounts of data. Bringing scientists and users to the most relevant, often unexpected, features and giving them the tools to discover, extract and exploit the best knowledge out of their data are
Planning and Learning to Act in Systems of Multiple Agents – plasma
WP1: PLANNING ALGORITHMS FOR CONTINUOUS MDPS WP2: PLANNING ALGORITHMS FOR STOCHASTIC GAMES WP3: FROM COMPLEX GAMES TO SIMPLER ONES WP4: MULTI-AGENT REINFORCEMENT LEARNING 1. On continuous-state MDPs w/ hierarchical information 2. Solving Dec-POMDPs as Sequential-Move Continuous-State Multi
Mathematics of Stochastic and Deterministic Optimization for Deep Learning – MaSDOL
Machine learning (ML) and artificial intelligence are rising themes of research for decades because they have been considered as one way to produce new algorithms for solving striking challenges such as language understanding, best advice finding, automatic signal processing, fraud detection. The ex
Capture of the operational Traces of the company’s actors to build human Capital and define the winning Processes – CaTCaP
With the digital transformation of organizations in the Industry 4.0 era, industrial work is being profoundly renewed. Man-machine interfaces are at the heart of the issue. Interconnectivity is widespread, both within the production system and between the production system and other players in the v
