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Prof. Dr. Michael Scholz

Data Science
Design of intelligent algorithms in e-commerce applications
Evaluation of the economic impact of e-commerce technologies and phenomena

Faculty of Computer Science

Professors

Professor

Grafenau

08552/975620-19

consulting time

Drop me a mail.

You will find open theses at the following link: https://ilearn.th-deg.de/blog/index.php?userid=63750

publications

Sortierung:

Book

F. Lehner
Michael Scholz
S. Wildner

Wirtschaftsinformatik. Eine Einführung.

Hanser, Carl München

(2008)

Contribution

V. Dorner
O. Ivanova
Michael Scholz

Think Twice Before You Buy! How Recommendations Affect Three-Stage Purchase Decision Processes.

In: Proceedings of the 34th International Conference on Information Systems.

Eds.:
R. Baskerville
M. Chau

(2013)

Contribution

M. Franz
Michael Scholz
O. Hinz

2D versus 3D Visualizations in Decision Support - The Impact of Decision Makers' Perceptions.

In: Proceedings of the 36th International Conference on Information Systems (ICIS 2015).

Eds.:
C. Urquhart
A. Heinzl
T. Carte

(2015)

Contribution

T. Wimmer
Michael Scholz

Online Product Descriptions - Boost for your Sales?.

In: 14. Internationale Tagung Wirtschaftsinformatik. pg. 498-512

Eds.:
T. Ludwig
V. Pipek

Siegen

(2019)

Journal article

Leon Binder
Simon Rackl
Michael Scholz
Mathias Hartmann

Linking Thermal Images with 3D Models for FFF Printing.

In: Procedia Computer Science vol. 217 pg. 1168-1177

(2023)

DOI: 10.1016/j.procs.2022.12.315

show abstract

The thermal profile plays a major role in additive manufacturing. Thermal cameras are thus increasingly used for quality monitoring. So far, either full thermal images or metrics extracted from them are used to monitor the manufacturing quality or detect defects. To additionally allow the detection of local anomalies, it is necessary to link the thermal image to the 3D object geometry. We propose a framework that includes steps for filtering object points that are visible from the camera perspective, projecting 3D points onto thermal images and removing pixels that represent the printhead. Our framework can be used for process monitoring and subsequent on-line defect detection which are necessary components for production automation and Industry 4.0 applications. In a validation experiment, we show that the temperature extracted from thermal images and assigned to 1mm × 1mm × 1mm voxels is highly correlated to the temperature measured with type K thermocouples.