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2025

Digitale Prüfungen im Fach Buchhaltung – Entwicklung eines Moodle-Fragetyps

Tausch-Nebel, L., & van der Sluis, H. (2025). Digitale Prüfungen im Fach Buchhaltung – Entwicklung eines Moodle-Fragetyps. Die Neue Hochschule (DNH), (4/2025), 4. Abgerufen von https://www.hlb.de/die-neue-hochschule# (Original work published August 2025)

Abstract

Dieser Beitrag diskutiert das Problem, automatisierte und zugleich realitätsnahe digitale Prüfungen im Fach Buchhaltung mit Moodle abzuhalten. Es werden verschiedene Behelfslösungen erläutert und ein möglicher Lösungsansatz skizziert.
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Tausch-Nebel, Lasse
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2025

Journal Article

Lasse Tausch-Nebel

Hendrik van der Sluis
Reporting guidelines for manuscripts that use artificial intelligence–based automated image analysis in Veterinary Pathology

Bertram, C. A., Schutten, M., Ressel, L., Breininger, K., Webster, J. D., & Aubreville, M. (2025). Reporting guidelines for manuscripts that use artificial intelligence–based automated image analysis in Veterinary Pathology. Veterinary Pathology, 62, 615–617. http://doi.org/10.1177/03009858251344320 (Original work published August 2025)
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Aubreville, Marc

Forschungsprojekt

(mu)ROMI: Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

CIVU – Center for Interaction, Visualization and Usability

Profilbereich

Gesundheit und Life Sciences

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2025

Journal Article

Christof Bertram

Melissa Schutten

Lorenzo Ressel

Katharina Breininger

Joshua Webster

Marc Aubreville
Urban GNSS positioning in a car mobility scenario using Android-powered terminals: A case study in the Tri-City

Falkowski-Gilski, P., Piotrowska, J., Potrykus, Ł., Olszewski, J., Cygańska, D., Debita, G., & Uhl, T. (2025). Urban GNSS positioning in a car mobility scenario using Android-powered terminals: A case study in the Tri-City. Scientific Journals of the Maritime University of Szczecin, 2025, 82 (154), 80–92, 13. http://doi.org/DOI: 10.17402/644 (Original work published Juni 2025)

Abstract

With the advancements in mobile navigation, and thanks to the availability of portable devices, it is possible to calculate the trace and continuously monitor a user’s position. Due to widespread access to smartphones, any person can easily check their location, regardless of where they are at a given moment. This becomes an important factor in everyday life, especially while driving a car in an urban environment or agglomeration. In addition, mobile network operators and service providers themselves use location-based information to monitor and improve the quality of their services. This paper presents the results of a measurement campaign, which was carried out using Android-powered smartphones. The analysis includes four devices, originating from different manufacturers, with varying technical specifications, particularly supporting global navigation satellite systems (GNSSs). The data were gathered while driving a car in various surroundings, including natural as well as manmade objects. The outcomes of the performed experiments may be of particular interest to both scientists and practitioners who rely on navigation systems and services on a daily basis.
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Uhl, Tadeus

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Mobilität

Fachbereich

Fachbereich 3: Information und Kommunikation
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2025

Journal Article

Przemyslaw Falkowski-Gilski

Joanna Piotrowska

Łukasz Potrykus

Jakub Olszewski

Daria Cygańska

Grzegorz Debita

Tadeus Uhl

mobile applications, mobile communication, network measurements, positioning, satellite communication, satellite navigation systems
On the road to interactive LLM-based systematic mapping studies

Petersen, K., & Gerken, J. M. (2025). On the road to interactive LLM-based systematic mapping studies. Information and Software Technology, 178. (Original work published Februar 2025)
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Petersen, Kai

Gerken, Jan Michael

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Fachbereich

Fachbereich 4: Wirtschaft
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2025

Journal Article

Kai Petersen

Jan Gerken

Large language models

Systematic mapping studies

GPT
Joint Frequency Stabilisation in Future 100% Renewable Electric Power Systems

Reese, L., Rettig, A., Jauch, C., Domin, R. J., & Karshüning, T. (2025). Joint Frequency Stabilisation in Future 100% Renewable Electric Power Systems. Energies, 18, 17. http://doi.org/10.3390/en18020418 (Original work published Januar 2025)

Abstract

Due to the energy transition, the future electric power system will face further challenges that affect the functionality of the electricity grid and therefore the security of supply. For this reason, this article examines the future frequency stabilisation in a 100% renewable electric power system. A focus is set on the provision of inertia and frequency containment reserve. Today, the frequency stabilisation in most power systems is based on synchronous generators. By using grid-forming frequency converters, a large potential of alternative frequency stabilisation reserves can be tapped. Consequently, frequency stabilisation is not a problem of existing capacities but whether and how these are utilised. Therefore, in this paper, a collaborative approach to realise frequency stabilisation is proposed. By distributing the required inertia and frequency containment reserve across all technologies that are able to provide it, the relative contribution of each individual provider is low. To cover the need for frequency containment reserve, each capable technology would have to provide less than 1% of its rated power. The inertia demand can be covered by the available capacities at a coverage ratio of 171% (excluding wind power) to 217% (all capacities). As a result, it is proposed that provision of frequency stabilisation is made mandatory for all capable technologies. The joint provision distributes the burden of frequency stabilisation across many participants and hence increases redundancy. It ensures the stability of future electricity grids, and at the same time, it reduces the technological and economic effort. The findings are presented for the example of the German electricity grid.
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Jauch, Clemens

Forschungsprojekt

Inno!Nord: Innovationslabor: Speicher zur Nutzung erneuerbarer Energien im echten Norden

Abteilung/Einrichtung

Wind Energy Technology Institute

Profilbereich

Erneuerbare Energien und nachhaltige Entwicklung

Fachbereich

Fachbereich 2: Energy and Life Science
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2025

Journal Article

Lisanne Reese

Arne Rettig

Prof. Dr. Clemens Jauch

Richard Domin

Tom Karshüning

electric power system

energy transition

frequency containment reserve

frequency stabilisation

inertia

renewable energy

synchronous stability
Characterization of irradiated mucosa using confocal laser endomicroscopy in the upper aerodigestive tract

Thesing, L., Sievert, M., Panuganti, B., Aubreville, M., Meyer, T., Müller-Diesing, F., … Goncalves, M. (2025). Characterization of irradiated mucosa using confocal laser endomicroscopy in the upper aerodigestive tract. European Archives of Oto-Rhino-Laryngology, 282, 2507–2514.
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Aubreville, Marc

Forschungsprojekt

Optical Biopsy of Sinonasal Tumors using Confocal Laser Endomicroscopy: A Clinical and Deep Learning-based Assessment and Visualization

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2025

Journal Article

Lisa Thesing

Matti Sievert

Bharat Panuganti

Marc Aubreville

Till Meyer

Flurin Müller-Diesing

Agmal Scherzad

Stephan Hackenberg

Miguel Goncalves
Reduction of torque ripple in electric drives with concentrated windings through unconventional stator slot numbers

Königs, M., & Löhlein, B. (2025). Reduction of torque ripple in electric drives with concentrated windings through unconventional stator slot numbers. e+i Elektrotechnik und Informationstechnik.
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2025

Journal Article

Mike Königs

Bernd Löhlein
Investigation of Class Separability within Object Detection Models in Histopathology

Ammeling, J., Ganz, J., Wilm, F., Breininger, K., & Aubreville, M. (2025). Investigation of Class Separability within Object Detection Models in Histopathology. IEEE Transactions on Medical Imaging, 1–1. http://doi.org/10.1109/TMI.2025.3560134
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Aubreville, Marc

Forschungsprojekt

(mu)ROMI: Robust and Accurate Multi-Tumor, Multi-Species, Multi-Laboratory and Multi-Scanner Mitosis Detection with Large-Scale Datasets and Artificial Intelligence

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2025

Journal Article

Jonas Ammeling

Jonathan Ganz

Frauke Wilm

Katharina Breininger

Marc Aubreville

Feature extraction

Object detection

Measurement

Adaptation models

histopathology

Training

Complexity theory

YOLO

Location awareness

Data mining

object detection

latent space discrimination

2024

Prediction of tumor board procedural recommendations using large language models

Aubreville, M., Ganz, J., Ammeling, J., Rosbach, E., Gehrke, T., Scherzad, A., … Goncalves, M. (2024). Prediction of tumor board procedural recommendations using large language models. European Archives of Oto-Rhino-Laryngology. http://doi.org/10.1007/s00405-024-08947-9 (Original work published 2026)

Abstract

Multidisciplinary tumor boards are meetings where a team of medical specialists, including medical oncologists, radiation oncologists, radiologists, surgeons, and pathologists, collaborate to determine the best treatment plan for cancer patients. While decision-making in this context is logistically and cost-intensive, it has a significant positive effect on overall cancer survival.
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Aubreville, Marc

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Profilbereich

Informatik und Gestaltung

Forschungsfeld

Digitalisierung im Gesundheitswesen

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2024

Journal Article

Marc Aubreville

Jonathan Ganz

Jonas Ammeling

Emely Rosbach

Thomas Gehrke

Agmal Scherzad

Stephan Hackenberg

Miguel Goncalves
Re-identification from histopathology images

Ganz, J., Ammeling, J., Jabari, S., Breininger, K., & Aubreville, M. (2024). Re-identification from histopathology images. Medical Image Analysis, 103335. http://doi.org/10.1016/j.media.2024.103335 (Original work published 2026)
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Aubreville, Marc

Abteilung/Einrichtung

FLAIR - Flensburg Artificial Intelligence Research

Forschungsfeld

Digitalisierung im Gesundheitswesen

Data Science und Künstliche Intelligenz

Fachbereich

Fachbereich 3: Information und Kommunikation
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2024

Journal Article

Jonathan Ganz

Jonas Ammeling

Samir Jabari

Katharina Breininger

Marc Aubreville

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2025

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2024

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