Machine Learning

Using Dynamic Item Response Theory and Machine Learning based on Natural Language Processing to improve the reliability of the Operant Motive Test (OMT)
Using Dynamic Item Response Theory and Machine Learning based on Natural Language Processing to improve the reliability of the Operant Motive Test (OMT)

Dec 12, 2024

A Comparative Study of Open Source Computer Vision Models for Application on Small Data: The Case of CFRP Tape Laying

The world of open source computer vision has never been so exciting - and so challenging. Level up your MLOps game and gain practical knowledge of the latest computer vision models and practices, don't miss the opportunity!

Aug 29, 2024

RECAST: An Open Source Platform for Item-Specific Capturing of Real Production Processes

I present the RECAST project, which aims to digitize production processes at item level using open source components. The digital twin created allows the recording of system data in real time on an item-specific basis, enabling the use of artificial intelligence in quality testing of products.

Aug 16, 2024

RECAST: An Open-Source Digital Twin Framework for Industrial Production Environments
RECAST: An Open-Source Digital Twin Framework for Industrial Production Environments

Mar 2, 2024

OS4ML: Open Space for Machine Learning
OS4ML: Open Space for Machine Learning

Mar 1, 2024