IMMS - Search

Lead application

271. Adaptive edge AI systems for industrial application

Lead application Adaptive edge AI systems for industrial application: We are researching solutions for adaptive edge AI systems to make AI possible on low-consumption embedded systems in industry and to network them in real time.

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272. Adaptive gain control for high dynamic range optical receivers

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273. Adaptive gain control for high dynamic range optical receivers

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274. Adaptive Wireless Ad-hoc Sensor Networks for Long-term and Event-oriented Environmental Monitoring

Jan Bumberger, Hannes Mollenhauer, Paul Remmler, Andrei Marian Chirila, Olaf Mollenhauer, Tino Hutschenreuther, Hannes Toepfer, Peter Dietrich, Vienna, Austria 2016 European Geosciences Union General Assembly, EGU 2016, Open Session on Geosciences Instrumentation and Methods

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275. Adaptiver Frontend-ASIC für elektrostatische Energy-Harvester

Benjamin Saft, Eric Schäfer, André Jäger, Alexander Rolapp, Eckhard Hennig, Renningen (Robert Bosch GmbH), Germany 2016 8. GMM-Workshop „Energieautarke Sensorik“

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276. Added-Value Services in Smart Home Applications through System Integration of Different Wireless Standards

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277. Added-Value Services in Smart Home Applications through System Integration of Different Wireless Standards

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278. ADMONT

IMMS is working on energy-autonomous multi-parameter biosensor networks for in vitro diagnosis of cancer. Photograph: IMMS.

IMMS has validated novel semiconductor process technology with passive RFID sensors and an in-vitro breast cancer diagnostic system.

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279. AFiA

IMMS has developed a vertical drive to raise and lower objects through 10 mm under active control with nanometre precision.

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280. AgAVE

Test setup for the integration of local industry-4.0-compliant assistance systems in production machinery. Photograph: IMMS.

Industry 4.0 communications for an assistance system, ML-based, that autonomously analyses connected production chains