Explore projects

Tampermonkey-Scripts

This dataset entails MATLAB code that implements: (1) Bioreactor calibration, (2) Image preprocessing, (3) Lagrangian LED Particle recognition, (4) Image distortion removal and (5) Particle track recognition, written by Maximilian Kamp.

A report on animals in the neighborhood. project page

Lösung zur einfachen Abfrage der Ausweisgültigkeit bei allen (Hamburger Wissenschaftlichen) Bibliotheken.

A LaTeX template for typesetting Elsevier journals based on the elsarticle class released by Elsevier.

Material for all assignments for Mathematical Image processing (continuously updated)

The aim of the project is to develop an empirically more sound fraud dynamics model. To this end, we re-implement parts of the fraud dynamics and controls model by Davis and Pesch (2013) and replace the original model's simple contagion mechanism by a more complex contagion mechanism. The latter is inspired by the operational social norm definition proposed by Bicchieri (2006). It introduces a bias in individual agents' behavioral decision-making when chosing between honesty and fraud. Next, we calibrate the model with two empirically measured norm sensitivity distributions and run simulation experiments.

Repo to accompany my presentation at ML@M14

TU-interne Fortbildung "Forschen und Lehren mit Jupyter Notebook"

Homework Material for Mathematical Image Processing (Winter Term 2022)

This dataset entails PYTHON code for fluid mechanic evaluation of Lagrangian Particles with the "Consensus-Based tracking with Selective Rejection of Tracklets" (CSRT) algorithm in the "OpenCV" library, written by Ryan Rautenbach.