2149 results
Reference
  71. Inline3D  
Inline cleaning process for washing media in resin-based 3D printing processes  
Press release
  72. „MikroGraph“ research project gets underway  
Thuringian research consortium develops innovative sensor technology for monitoring micropollutants in wastewater  
Reference
  73. MikroGraph  
IMMS is developing evaluation electronics for new, highly sensitive graphene sensor technology for on-site detection of micropollutants in wastewater.  
Reference
  74. Before It Hits the Chip: A Gentle Introduction to Mixed-Signal IC Verification  
Martin Grabmann, ISSOM 25, International Summer School on Microelectronics, August 25-29, 2025, Leibniz-Universität Hannover, Hannover, Germany  
Event
  75. 17th Erfurt Technology Dialogue  
Close-up of a milling machine to which an approximately 2 x 2 cm small wireless circuit board with sensors and an illuminated LED is held, accompanied by a graphic of a neural network and spreading radio waves. "Towards future-proof production with the digital twin"  
Event
  76. ISSOM 2025  
International Summer School on Microelectronics  
Reference
  77. Demonstration einer automatisierten Bewässerungssteuerung für den Obstbau  
Falk Eisenreich, 2. Thüringer Haselnusstag, 20. August 2025, Thüringer Landesamt für Landwirtschaft und Ländlichen Raum, Lehr- und Versuchszentrum für Gartenbau (LVG), Erfurt, Germany  
Reference
  78. Klimatische Änderungen am Standort Erfurt und deren Auswirkungen auf die Bewässerung von Obstbäumen  
Silvia Krug, 2. Thüringer Haselnusstag, 20. August 2025, Thüringer Landesamt für Landwirtschaft und Ländlichen Raum, Lehr- und Versuchszentrum für Gartenbau (LVG), Erfurt, Germany  
Event
  79. 2nd Thuringian Hazelnut Day  
Five boxes suspended from a wire rope, from which cables lead into the ground to buried soil moisture sensors. An event organised by the Ministry of Agriculture and Rural Affairs of the German Land of Thüringen  
Media library
  80. 2024 Annual Report | HoLoDEC edge AI (en/de)  
Aufwand senken, Nutzen steigern: Anomalie-Detektion mit Edge-KI und unüberwachtem Lernen für smartes Maschinenmonitoring  
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