Logo der Physikalisch-Technischen Bundesanstalt

Suche

Suchergebnis

124 Treffer:
  • 91. Machine learning for automatic object localization in digital images  
    Datum: 29.06.2021
    Prozentuale Relevanz: 16 %
    Kolloquium der Abteilung 6 Machine learning and especially deep learning has gained enormous popularity in many application areas, e.g. computer vision, due to significant performance improvements  
  • 92. Atomic gas sensing of ultralow magnetic fields and its applications  
    Datum: 22.07.2021
    Prozentuale Relevanz: 15 %
    Kolloquium der Abteilung 8 Recent interest in quantum technologies is based on the possibility (in principle) of enhanced performance of devices relying on the core principles of quantum physics.  
  • 93. New tools for quantum sensing with polarized spins  
    Datum: 11.11.2021
    Prozentuale Relevanz: 16 %
    Kolloquium der Abteilung 8 Two different approaches for performing precision measurements with spin-polarized quantum systems will be presented. Both are motivated by the quest to measure finite  
  • 94. Direct-write nano-fabrication with focused electron beams — principles and applications  
    Datum: 09.03.2022
    Prozentuale Relevanz: 19 %
    Kolloquium der Abteilung 2 Michael Huth Over its rather long history, focused electron beam induced deposition (FEBID) has mostly been used as an auxiliary process in passivating surfaces in sample  
  • 95. AI-enabled cardiac MRI  
    Datum: 30.03.2022
    Prozentuale Relevanz: 20 %
    Kolloquium der Abteilung 8 Artificial intelligence, in particular from the class of machine / deep learning, has shown great promise for applications in medical imaging. However, the success of  
  • 96. MR Image Reconstruction and Inference – About Inverse Problems and Crimes  
    Datum: 29.04.2022
    Prozentuale Relevanz: 18 %
    Kolloquium der Abteilung 8 Deep learning tools have become an important ingredient of image reconstruction and inference. The increasing online availability of reference and annotated datasets has  
  • 97. Machine Learning meets High-fidelity numerical combustion simulations  
    Datum: 29.06.2022
    Prozentuale Relevanz: 21 %
    Kolloquium der Abteilung 8 Combustion Science is in a transitional phase: hydrogen is a promising fuel for sustainable, carbon-free energy generation. However, this apparently simple fuel brings a  
  • 98. Webinar Series: GH2Fuels Expert Talk 3  
    Datum: 15.07.2022
    Prozentuale Relevanz: 95 %
    Next in the Webinar Series for Expert talk on Green Hydrogen (GH2Fuels) we bring to you Mr. Shirish S Garud from The Energy and Resources Institute (TERI), India and Dr. Joydev Manna from National  
  • 99. Machine Learning for Medical Time Series- Challenges and Solutions  
    Datum: 27.07.2022
    Prozentuale Relevanz: 21 %
    Kolloquium der Abteilung 8 Time series are ubiquitous in health care ranging from ECG, EEG over ICU data to data from wearables. I will give an overview over the broad range of applications that are  
  • 100. Webinar Series - GH2Fuels Expert Talk 4  
    Datum: 05.08.2022
    Prozentuale Relevanz: 93 %
    Talk Title: Safety relevant ignition processes – Ignition by electrical discharges He is currently the head of the department 3.5 'Explosion protection in energy technology',  
###SPINNER###
Suchergebnisse 91 bis 100 von 124
Die Suchabfrage hat 202 ms in Anspruch genommen.

Suchverhalten

Bei der Suche können folgende Parameter verwendet werden:

  • "": Phrasensuche. Die eingegebenen Wörter müssen exakt wie eingegeben im Treffer vorkommen. Beispiel: "Metrologische Dienstleistungen"
  • -: NICHT-Verknüpfung. Ein Wort darf nicht im Treffer vorkommen. Beispiel: "Metrologische Dienstleistungen" -Eichgesetz
  • *: Teilwortsuche. Beispiel: "Metrologische Dienstleistungen" Kalibrier* findet "Metrologische Dienstleistungen" Kalibrierverfahren und "Metrologische Dienstleistungen" Kalibrierlaboratorien

Wenn Sie mehr als einen Suchbegriff eingeben, werden die einzelnen Wörter mit "UND" verknüpft.