Scientific Publications
2026
M.
Wagner,
T.
Harweg,
R.
Linder and
F.
Weichert,
"Agent-based simulation of the infection risk in variable indoor geometries"
,
AppliedMath (accepted for publication),
2026.
B.
Bergmann,
D.
Matuszczyk,
D.
Fisseler,
T.
Schröder,
N.
Schröder-Griebel and
F.
Weichert,
"Investigation into deep learning methods for a formal analysis of ancient sculptures"
,
Journal of Computer Applications in Archaeology (accepted for publication),
2026.
T.
Haselhoff,
S.
Moebus,
M.
Jedrusiak,
B. T.
Lawrence and
F.
Weichert,
"Modelling the urban acoustic environment using land use-based gradient boosting"
,
Journal of Exposure Science & Environmental Epidemiology (accepted for publication),
2026.
2025
T.
Haselhoff,
M. D.
Jedrusiak,
F.
Weichert and
S.
Moebus,
"Introducing NORBAERT - an open source software to facilitate the research on complex networks from the acoustic environment",
2025.
K.
Wüstefeld and
F.
Weichert,
"Signal model approximation through domain-aware image stream generation"
in Sixth International Conference on Computer Vision and Information Technology (CVIT 2025),
SPIE,
2025.
A.
Puzicha,
K.
Wüstefeld,
K.
Wilms and
F.
Weichert,
"Visual Trajectory Prediction of Vessels for Inland Navigation"
,
arXiv preprint arXiv:2505.00599,
2025.
2024
F. A.
Dreger,
S.
Kuhlmann,
F.
Weichert and
G.
Rinkenauer,
"4-DOF Robotic Arm Simulator for Machine Operator Training and Performance Evaluation: Engineering Design and Experimental Validation"
,
International Conference on Applied Human Factors and Ergonomics,
2024.
M.
Jedrusiak,
T.
Harweg,
T.
Haselhoff,
B. T.
Lawrence,
S.
Moebus and
F.
Weichert,
"Towards an interdisciplinary formalization of soundscapes"
,
Journal of the Acoustical Society of America,
vol. 155,
no. 4,
2024.
2023
H.
Müller and
F.
Weichert,
Vorkurs Informatik - Der Einstieg ins Informatikstudium (2023).
....
6
Springer Vieweg,
2023.
 Link |
R.
Hergenröder,
F.
Weichert,
K.
Wüstefeld and
V.
Shpacovitch,
"Virus Detection"
in Machine Learning under Resource Constraints - Applications,
De Gruyter,
2023,
pp. 21--42.
 doi:10.1515/9783110785982-010 |
N.
Sharar,
K.
Wüstefeld,
R. M.
Talukder,
J.
Skolnik,
K.
Kaufmann,
B.
Giebel,
F.
Börger,
C.
Watzl,
F.
Weichert,
R.
Hergenröder and
V.
Shpacovitch,
"The employment of the surface plasmon resonance (SPR) microscopy sensor for the detection of individual extracellular vesicles and non-biological nanoparticles"
,
Biosensors,
vol. 13,
no. 4,
2023.
D.
Matuszczyk and
F.
Weichert,
"Reading Direct-Part Marking Data Matrix Code in the Context of Polymer-Based Additive Manufacturing"
,
Sensors,
vol. 23,
no. 3,
2023.
 File | 10.3390/s23031619 |
N.
Piatkowski,
K.
Morik,
N.
Kriege,
C.
Morris,
M.
Fey,
F.
Weichert,
N.
Bertram,
J.
Ellert,
J.
Fischer and
L.
Pfahler,
"Structured Data"
in Machine Learning under Resource Constraints - Fundamentals,
De Gruyter,
2023,
pp. 99--178.
| doi:10.1515/9783110785944-004 |
T.
Ambrosat,
F.
Gierschner,
A.
Hundrup,
T.
Harweg,
F.
Weichert,
D.
Ungermann and
W.
Flügge,
"Automatisierte Inspektion von stahlbaulichen Strukturen mittels Drohne im Innenbereich"
,
zfv,
vol. 5,
2023.
| 10.12902/zfv-0441-2023 |
T.
Harweg,
M.
Wagner and
F.
Weichert,
"Agent-Based Simulation for Infectious Disease Modelling over a Period of Multiple Days, with Application to an Airport Scenario"
,
International Journal of Environmental Research and Public Health,
vol. 20,
no. 1,
2023.
| Link |
K.
Wüstefeld,
R.
Ebbinghaus and
F.
Weichert,
"Learning to Segment Blob-like Objects by Image-Level Counting"
,
Applied Sciences,
vol. 13,
no. 22,
2023.
| File | 10.3390/app132212219 |
2022
N.
Tschorn,
D.
Matuszczyk and
F.
Weichert,
"Deep Learning based Synthetic Image Generation for Defect Detection in Additive Manufacturing Industrial Environments"
,
International Conference on Mechanical Engineering and Robotics Research,
2022.
C.
Rest,
D.
Fisseler,
F.
Weichert and
G. G. W.
Müller,
"Illumination-based augmentation for cuneiform deep neural sign classification"
,
Journal on Computing and Cultural Heritage (accepted for publication),
2022.
| Link |
J.
Lins,
T.
Harweg,
F.
Weichert and
K.
Wohlgemuth,
"Potential of deep learning methods for deep level particle characterization in crystallization"
,
Applied Sciences (accepted for publication),
2022.
2021
M.
Fey,
J. E.
Lenssen,
F.
Weichert and
J.
Leskovec,
"GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings"
,
International Conference on Machine Learning (ICML),
2021.
| Link |
A.
Roth,
K.
Wüstefeld and
F.
Weichert,
"A Data-Centric Augmentation Approach for Disturbed Sensor Image Segmentation"
,
Journal of Imaging,
vol. 7 (10),
2021.
| PDF | https://doi.org/10.3390/jimaging7100206 |
T.
Harweg,
D.
Bachmann and
F.
Weichert,
"Agent-based Simulation of Pedestrian Dynamics for Exposure Time Estimationin Epidemic Risk Assessment"
,
Journal of Public Health,
2021.
| Link | https://doi.org/10.1007/s10389-021-01489-y |
2020
M. D.
Jedrusiak and
F.
Weichert,
"A Deep Learning Approach for Denoising Air-Coupled Ultrasonic Responds Data"
,
International Journal of Artificial Intelligence and Applications (IJAIA),
vol. 11,
no. 4,
pp. 15-28,
2020.
 PDF | Link |
M.
Kleineberg,
M.
Fey and
F.
Weichert,
"Adversarial Generation of Continuous Implicit Shape Representations"
in Eurographics,
2020.
| PDF | Link |
K.
Wüstefeld and
F.
Weichert,
"An Automated Rapid Test for Viral Nanoparticles Based on Spatiotemporal Deep Learning"
,
IEEE Sensors,
pp. 1-4,
2020.
| PDF | Link | 10.1109/SENSORS47125.2020.9278935 |