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Research Topics: Machine Learning & Deep Learning Fields of application: Environment & Energy
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Displaying results 41 to 50 of 55.
  1. MATE – Maritime Traffic Emissions: A monitoring network

    MATE – Maritime Traffic Emissions: A monitoring network

    Maritime ship traffic is globally increasing with 90% of the world trade being carried over the ocean. The emissions of the maritime traffic are a …

  2. SmartRecycling – SmartRecycling - AI and Robotics for a sustainable circular economy

    SmartRecycling – SmartRecycling - AI and Robotics for a sustainable circular economy

    Partners Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI) Institut für Energie und Kreislaufwirtschaft an der Hochschule Bremen GmbH …

  3. DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

    DIGITbrain – Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service (MaaS)

    DIGITbrain Project is an EU innovation program to give SMEs easy access to digital twins. A Digital Twin is the virtual representation of a product, …

  4. TreeSatAI – Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

    TreeSatAI – Künstliche Intelligenz mit Erdbeobachtungs- und Multi-Source Geodaten für das Infrastruktur-, Naturschutz und Waldmonitoring

    Remote sensing data from various space missions as well as geodata on the state of the environment are increasingly available free of charge in …

  5. hILDe – Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors

    hILDe – Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted detection of specific colors

    Novel, cost-effective and highly precise indication of imbalance and state of charge (SoC) of vanadium redox flux batteries using AI-assisted …

  6. KI-EKG – Development of a evaluation methodology for energy efficiency measurement of AI hardware using the example of ECG analysis

    KI-EKG – Development of a evaluation methodology for energy efficiency measurement of AI hardware using the example of ECG analysis

    Significant improvements in the energy efficiency of AI hardware are a prerequisite for the growing spread of this computationally intensive …

  7. VerSys – A Sound Verification Platform for Early Software Development for RISC-V based Systems

    VerSys – A Sound Verification Platform for Early Software Development for RISC-V based Systems

    The aim of the VerSys project is to develop a consistent platform for early software development based on RISC-V technology, an instruction set …

  8. FiN 2.0 – Fühler im Netz 2.0

    FiN 2.0 – Fühler im Netz 2.0

    „Fühler im Netz 2.0“ baut auf den Ergebnissen des Projektes „Fühler im Netz“ (FiN) (Projektzeitraum 2014 bis 2017) auf und legt den Fokus darauf, …

  9. KI-Mobil – AI for Mobility, Logistic and Energy

    KI-Mobil – AI for Mobility, Logistic and Energy

    The goal of KI-mobil is the realization of an AI-supported software platform for disruptive, resource-saving and high-performance mobility concepts, …

  10. SUSKULT – Entwicklung eines nachhaltigen Kultivierungssystems für Nahrungsmittel resilienter Metropolregionen

    SUSKULT – Entwicklung eines nachhaltigen Kultivierungssystems für Nahrungsmittel resilienter Metropolregionen

    Weshalb? Aus der Vielzahl an Auswirkungen der modernen Nahrungsmittelproduktion auf das System Erde sticht die Veränderung von P- und N-kreisläufen …

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