Fraunhofer-Institut für Integrierte Schaltungen (IIS)

Research facility


Location: Erlangen, Germany (DE) DE

ISNI: 0000000404947517

ROR: https://ror.org/024ape423

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Types of publications

Journal article
Book chapter / Article in edited volumes
Authored book
Translation
Thesis
Edited Volume
Conference contribution
Other publication type
Unpublished / Preprint

Publication year

From
To

Abstract

Journal

EVErPREP: Towards an Event Knowledge Graph Enhanced Workflow Model for Event Log Preparation (2025) Filipp P, Dorsch R, Harth A Conference contribution Staying in a Stressful Job? The Role of Job Embeddedness for Truck Drivers’ Well-Being and Turnover Intentions (2025) Schmidbauer J, Niessen C, Lubecki-Weschke N, Krupp M Journal article Design Considerations and Propagation Properties Using an SDN-Controlled RIS for Wireless Backhauling (2025) Arslan ME, Rezaei H, Yammine G, Heusinger P, Wu Y, Gerstacker W, Schober R, et al. Journal article Modelling of measuring systems – From white box models to cognitive approaches (2025) Schiering N, Eichstädt S, Heizmann M, Koch W, Schneider LS, Scheele S, Sommer KD Journal article Mind the Naive Forecast! A Rigorous Evaluation of Forecasting Models for Time Series with Low Predictability (2025) Beck N, Dovern J, Vogl S Journal article, Original article Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML (2025) Deutel M, Kontes G, Mutschler C, Teich J Journal article, Original article Taking Control of Your Health Data: A Solid-based Mobile App for Wearable Data Collection and RDF Visualization (2025) Wehr T, Freund M, Harth A Conference contribution microYOLO: Towards Single-Shot Object Detection on Microcontrollers (2025) Deutel M, Mutschler C, Teich J Conference contribution, Conference Contribution Controlling sharpness, SNR, and specific absorption rate for 3D fast-spin echo at 7T by end-to-end learning (2025) Dawood P, Blaimer M, Herrler J, Liebig P, Weinmüller S, Malik S, Jakob PM, Zaiß M Journal article GNSS Interference Monitoring: Resilience of Machine Learning Methods on Public Real-World Datasets (2024) Heublein L, Raichur NL, Feigl T, Brieger T, Heuer F, Asbach L, Ruegamer A, Ott F Journal article, Original article