Axel Schaffland and Julius
Schöning.
Die (be)greifbare künstliche Intelligenz.
Number 1+2, page 42. Arbeitskreis der Technologietransferstellen
niedersächsischer Hochschulen, 2025.
(doi:https://doi.org/10.60479/MW12-W927)
Axel Schaffland and Julius
Schöning.
KI zum Anfassen – Ein Mechanisces Neuronales Netz für die
KI-Lehre.
In Hanno Homann, Cedric Rohbani, and
Jens Christian Will, editors, KI-Forum 2025: KI in
Forschung und Lehre an Hochschulen. HannoTalents, HsH Applied
Academics, 2025.
(Accepted).
Axel Schaffland and Julius
Schöning.
Urban traffic forecasting, urban data platforms and urban foundations models.
In 2025 7th Experiment@ International Conference (exp.at'25).
IEEE, 2025.
(Accepted).
Axel Schaffland, Marco
Schaarschmidt, Firas Adleh, and Julius
Schöning.
Urban foundation models and artificial intelligence safety.
In 2025 IEEE 9th Forum on Research and Technologies for Society and
Industry Innovation (RTSI), pages 214–219. IEEE, 2025.
(doi:10.1109/RTSI64020.2025.11212213)
Axel Schaffland and Julius
Schöning.
Förderung der KI-Kompetenz bei Studierenden ohne Vorkenntnisse in
Informatik und Programmierung.
In Hanno Homann, Cedric Rohbani, and
Jens Christian Will, editors, KI-Forum 2024: AI 4
Students - AI in Research - AI Showroom, pages 45–47. HannoTalents,
HsH Applied Academics, 2024.
(doi:10.25968/opus-3429)
Axel Schaffland and Julius
Schöning.
High accurate rephotographic image registration by attention masks: enabling
intention-driven rephotographic image registration with interactive areas of
interest masks.
IEEE Access, 12:7519–7530, 2024.
(doi:10.1109/ACCESS.2024.3350514)
Axel Schaffland, Celina
Müller, and Julius Schöning.
Promoting the digital transformation of STEM education with the mechanical
neural network, a physical model for future-oriented and student-centered
AI education.
In 2024 IEEE Global Engineering Education Conference
(EDUCON). IEEE, 2024.
(doi:10.1109/educon60312.2024.10578714)
Axel Schaffland, Jonas
Nelson, and Julius Schöning.
Simulating traffic networks: driving SUMO towards digital twins.
In SUMO Conference Proceedings. TIB Open Publishing, 2024.
(doi:10.52825/scp.v5i.1105)
Axel Schaffland and Julius
Schöning.
Faroe Islands rephotography image registration dataset.
Data in Brief, 47:108979, 2023.
(doi:10.1016/j.dib.2023.108979)
Axel Schaffland and Julius
Schöning.
Mechanical Neural Network: making AI comprehensible for everyone.
In 2023 IEEE German Education Conference (GeCon). IEEE, 2023.
(doi:10.1109/gecon58119.2023.10295144)
Axel
Schaffland.
The Mechanical Neural Network(MNN) – a physical implementation of a
multilayer perceptron for education and hands-on experimentation.
In arXiv, 2022.
(doi:10.48550/ARXIV.2207.07482)
Axel Schaffland and Gunther
Heidemann.
Heritage and repeat photography: techniques, management, applications, and
publications.
Heritage, 5(4):4267–4305, 2022.
(doi:10.3390/heritage5040220)
Axel Schaffland, Julius
Schöning, Oliver Vornberger, and Gunther
Heidemann.
Climate change combat and disaster management with re.photos, the web portal
for rephotography.
In 2022 IEEE International Humanitarian Technology Conference
(IHTC), pages 69–72, 2022.
(doi:10.1109/ihtc56573.2022.9998370)
E. Doering, A. Pukropski,
U. Krumnack, and A. Schaffland.
Automatic detection and counting of malaria parasite-infected blood cells.
In Ruidan Su and Han Liu, editors, Medical
Imaging and Computer-Aided Diagnosis, pages 145–157, Singapore, 2020.
Springer Singapore.
(doi:10.1007/978-981-15-5199-4_15)
Axel Schaffland, Tri Hiep
Bui, Oliver Vornberger, and Gunther Heidemann.
New interactive methods for image registration with applications in repeat
photography.
In Proceedings of the 2nd Workshop on Structuring and Understanding of
Multimedia HeritAge Contents, pages 41–48, New York, NY, USA, 2020.
ACM.
(doi:10.1145/3423323.3425749)
Axel Schaffland, Oliver
Vornberger, and Gunther Heidemann.
An interactive web application for the creation, organization, and
visualization of repeat photographs.
In 1st Workshop on Structuring and Understanding of Multimedia heritAge
Contents (SUMAC `19), pages 47–54, New York, NY, USA, 2019. ACM.
(doi:10.1145/3347317.3357247)