Institute for Technology and Management of the Digital Transformation
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continual-learning-mas-cloning-injection-molding
continual-learning-mas-cloning-injection-molding PublicCode to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Aware Synapses and Weight Transfer" by Tercan et al., submitted…
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Time-Series-Dataset-Survey-4-Forecasting-with-Deep-Learning
Time-Series-Dataset-Survey-4-Forecasting-with-Deep-Learning Public
Repositories
- deep-dissect Public
deep_dissect is a library for performing neuroscientific inspired ablation studies on MMDetection models. It offers tools to investigate the influence of different components within models, focusing on detection transformer models. The library was used in the creation of the BMVC 2025 Paper "Detection Transformers under the Knife" by Hütten et al.
tmdt-buw/deep-dissect’s past year of commit activity - pcad-dataset Public
tmdt-buw/pcad-dataset’s past year of commit activity - ood-detection-welding Public
This repository contains the implementation for our research on out-of-distribution (OOD) detection in gas metal arc welding (GMAW) quality prediction. Our work addresses critical challenges in dynamic manufacturing environments where process parameters frequently change, causing distribution shifts that degrade model performance.
tmdt-buw/ood-detection-welding’s past year of commit activity - applied-machine-learning-project Public
This project focuses on predicting welding quality based on time series data of electrical current and voltage measurements. The analysis employs various machine learning techniques to extract meaningful features from welding process data, identify patterns through clustering, and build predictive models for quality classification.
tmdt-buw/applied-machine-learning-project’s past year of commit activity - asag-demo Public
tmdt-buw/asag-demo’s past year of commit activity - mas-cloning-windshield-manufacturing Public
Code and data to reproduce the main results from the paper "Online Quality Prediction in Windshield Manufacturing using Data-Efficient Machine Learning" by Tercan et al., submitted to the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023). The script runs MAS-Cloning (described in the paper) for a fixed sequence of tasks.
tmdt-buw/mas-cloning-windshield-manufacturing’s past year of commit activity
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