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16 Treffer
- Schönenberger, Maja; Wink, Fabian; Siemer, Friederike et al.
- Energiedatenmanagement in der Nationalparkregion Hunsrück-Hochwald
- Energieagentur Rheinland-Pfalz (Hrsg). Kaiserslautern. 2020
- Schmidt, Timo; Herrmann, Carmen; Lakatos, Michael et al.
- Carbon-Dioxide-Inhaling Facade: Design of a bioreactor facade to produce active ingredients and high-value products
- Proceedings of the International Facade Tectonics 2020 World Congress (Hrsg). Los Angeles. 2020 S. 1 - 8
- Machhamer, Rudiger; Garling, Marcel; Czenkusch, Levin et al.
- Development of Edge Runtime Learning Systems for an Artificial Nose Classifying Drinks
- 9th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2020
- Beyer, Florens; Mentler, Tilo
- Human-Centered Design of Tool Support for Managing Oral Anticoagulation
- International Conference on Healthcare Informatics (ICHI). online: IEEE 2020
- Machhamer, Rudiger; Altenhofer, Jannik; Ueding, Kristof et al.
- Visual Programmed IoT Beehive Monitoring for Decision Aid by Machine Learning based Anomaly Detection
- 9th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2020
- Dziubany, Matthias; Creutz, Lars; Kopp, Sam et al.
- Development of a Cyber-Physical System for an Autonomous Indoor Transportation Service
- 9th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2020
- Dziubany, Matthias; Schneider, Jens; Schmeink, Anke et al.
- Optimization of a CPSS-based Flexible Transportation System
- 9th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2020
- te Heesen, Henrik; Rumpler, Martin; Herbort, Volker
- Studie zum Ertrag von Photovoltaikdachanlagen in Deutschland 2019
- Hochschule Trier (Hrsg). Trier. 2020
- Schardt, Johannes; te Heesen, Henrik
- Performance of Rooftop PV Systems in Selected European Countries from 2012 to 2019
- 37th European Photovoltaic Solar Energy Conference and Exhibition (Hrsg). München. 2020 S. 1409 - 1412
- Begic Fazlic, Lejla; Hallawa, Ahmed; Dziubany, Matthias et al.
- A Machine Learning Approach for the Classification of Disease Risks in Time Series
- 9th Mediterranean Conference on Embedded Computing (MECO). online: IEEE 2020