1778 results
Reference
  281. Prof. Dr.-Ing. Patrick Mäder, Technische Universität Ilmenau  
”For us, the cooperation shows how important IMMS is for a transfer of results from basic research into practice.”  
Reference
  282. Dr. Gerd Reidenbach, Lehr- und Versuchszentrum Gartenbau (LVG)  
”We have experienced IMMS as a reliable and proactive partner who has taken our perspective and implemented targeted solutions from it and is always open to new impulses.”  
Media library
  283. 2021 Annual Report | Article NanoFab (en/de)  
2021 Jahresbericht | Fachartikel NanoFab (en/de): Untersuchungen zur Positionsregelung von vertikalen Bewegungssystemen für Präzisionsanwendungen im Nanometerbereich  
Media library
  284. 2021 Annual Report | Article EXPRESS (en/de)  
2021 Jahresbericht | Fachartikel EXPRESS (en/de): Intelligente Sensorik für die Digitalisierung in der Landwirtschaft  
Media library
  285. 2021 Annual Report | Article ML4EdgeAI (en/de)  
2021 Jahresbericht | Fachartikel ML4EdgeAI (en/de): Maschinelles Lernen auf ressourcenbeschränkten Mikrocontrollern für Edge-KI- und IoT-Anwendungen  
Reference
  286. Heinz-Wolfgang Lahmann, GFE – Gesellschaft für Fertigungstechnik und Entwicklung Schmalkalden e.V.  
”In our collaboration with IMMS, we particularly appreciate the expertise in the field of sensor data acquisition and processing, the high application orientation of the solutions and the constructive contacts with its employees – not least when working together on site on machines and equipment.”  
Press release
  287. 2021 annual report online  
Cover photo: IMMS is developing the real-time capable platform and AI algorithms for such a mobile multi-sensor testing device for preventive maintenance in industry. More information on page 74. Photograph: IMMS. Foto: IMMS. Here you can find the contents in brief and the entire report which is linked to further information and videos.  
Reference
  288. Machine-Learning im PCB-Entwurf: Open-Source zwischen Forschung, Potential und Alltag  
Georg Gläser, 30. Konferenz des Fachverbandes für Design, Leiterplatten- und Elektronikfertigung (FED), 29. - 30. September 2022, Potsdam, Germany  
Reference
  289. KI für energieeffiziente Sensorsysteme – Effiziente Überwachung von Maschinen und Anlagen  
Sebastian Uziel, elmug4future, Technologiekonferenz, 27. - 28. September 2022, Friedrichroda, Thüringen  
Reference
  290. An IoT-based Sensor System to Capture Flower Bud Growth in Spring  
Silvia Krug, Tino Hutschenreuther 19. GI/ITG KuVS Fachgespräch Sensornetze (FGSN 2022), pp. 37-40, DOI: https://doi.org/10.34702/mncp-qb18. 15. September 2022, Berlin, Germany  
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