Alexandre Perles
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    • Energy-efficient machine learning for edge computing in mobility applications
    • Système multi-agent adaptatif pour la détection de régularités dun utilisateur pour les applications de mobilité (en: Adaptive multi-agent system for detecting user regularities for mobility applications)
    • An Adaptive Multi-Agent System for Dynamic Preference Learning: Application to Mobility
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    • Système multi-agent adaptatif pour la détection de régularités dun utilisateur pour les applications de mobilité
    • An Adaptive Multi-Agent System for Dynamic Preference Learning: Application to Mobility
    • Adaptive Multi-agent System for Dynamic Clustering Applied to Itineraries Regularities and Traffic Prediction
    • A Cooperative Multi-Agent System for Wind Power Forecasting
    • AMAK-a framework for developing robust and open adaptive multi-agent systems
    • An adaptive multi-agent system for the distribution of intelligence in electrical distribution networks: state estimation
    • Distribution networks as complex dynamic systems new perspective for monitoring them
    • Self-adaptive distribution system state estimation
    • Principle and evaluation of a self-adaptive multi-agent system for state estimation of electrical distribution network
    • Milling plan optimization with an emergent problem solving approach
    • The Modelica language and the FMI standard for modeling and simulation of Smart Grids
    • An occupant behavior model based on artificial intelligence for energy building simulation
    • Optimisation d’usinage de surface gauche par système multi-agent auto-organisateur
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AMAS4DC

Jun 1, 2023 · 1 min read
GitHub

A library for data clustering using multi-agent system.

Last updated on Jun 1, 2023
Multi-Agent System Dynamic Clustering Data Stream Clustering Java
Alexandre Perles
Authors
Alexandre Perles
Researcher in A.I.
AMAK Mar 23, 2017 →

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