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Research Topics: Machine Learning & Deep Learning Fields of application: Environment & Energy
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Displaying results 1 to 10 of 49.
  1. COMET – Consumer Empowerment und Teilhabe an der Domäne Smart Living

    COMET – Consumer Empowerment und Teilhabe an der Domäne Smart Living

    Die Bedeutung der Smart-Living-Domäne für die deutsche Wirtschaft wächst kontinuierlich und präsentiert sich als vielversprechender Markt. Auf …

  2. FAIRe – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe – Frugal Artificial Intelligence in Resource-limited environments

    Artificial intelligence (AI) is finding increasingly diverse applications in the physical world, especially in embedded, cyber-physical devices with …

  3. FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe_RIC – Frugal Artificial Intelligence in Resource-limited environments

    FAIRe aims to develop resource-limited AI for embedded systems, cyber-physical systems, and edge devices. The development approach should extend …

  4. HumAIne – Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations

    HumAIne – Hybrid Human-AI Decision Support for Enhanced Human Empowerment in Dynamic Situations

    At HumAIne, we aim to pioneer the development and integration of innovative AI paradigms. Our goal is to make human-AI collaboration not only advanced …

  5. Revise-UP – Verbesserung der Prozesseffizienz des werkstofflichen Recyclings von Post-Consumer Kunststoff-Verpackungsabfällen durch intelligentes Stoffstrommanagement

    Revise-UP – Verbesserung der Prozesseffizienz des werkstofflichen Recyclings von Post-Consumer Kunststoff-Verpackungsabfällen durch intelligentes Stoffstrommanagement

    At 3.2 million tonnes per year, post-consumer packaging waste represents the most significant plastic waste stream in Germany. Despite progress to …

  6. KIMBA – KI-basierte Prozesssteuerung und automatisiertes Qualitätsmanagement im Recycling von Bau- und Abbruchabfällen durch sensorbasiertes Inline-Monitoring von Korngrößenverteilungen

    KIMBA – KI-basierte Prozesssteuerung und automatisiertes Qualitätsmanagement im Recycling von Bau- und Abbruchabfällen durch sensorbasiertes Inline-Monitoring von Korngrößenverteilungen

    With 587.4 million t/a of aggregates used, the construction industry is one of the most resource-intensive sectors in Germany. By substituting primary …

  7. TRIPLE-GNC – DFKI subproject: acoustic and visual perception of a miniaturized autonomous underwater vehicle for exploration of subglacial lakes

    TRIPLE-GNC – DFKI subproject: acoustic and visual perception of a miniaturized autonomous underwater vehicle for exploration of subglacial lakes

    The aim of the TRIPLE project line is to design and build a system for scientific exploration of subglacial lakes while validating the associated …

  8. HAI-x – Hybrid AI explainer

    HAI-x – Hybrid AI explainer

    More and more industry, business and science applications employ multiple AI techniques and AI workflows to solve complex problems and automate as …

  9. CleanSeas – CleanSeas

    CleanSeas – CleanSeas

    New robotic manipulation techniques and AI algorithms for the precise handling of objects in the sea using the example of ammunition dumps / UXO …

  10. SECAI – Sustainable heating through Edge-Cloud-based AI systems

    SECAI – Sustainable heating through Edge-Cloud-based AI systems

    Das Projekt SECAI setzt durch den Einsatz von Künstlicher Intelligenz im Edge-Cloud-Umfeld intelligente, ökologisch nachhaltige und schnell …

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