output
20182026
most citedTopological Feature Vectors for Chatter Detection in Turning Processes

33 citations

9 papers

cs.CV2026

Multi-Level Feature Fusion for Continual Learning in Visual Quality Inspection

Johannes C. Bauer, Paul Geng, Stephan Trattnig +2

Deep neural networks show great potential for automating various visual quality inspection tasks in manufacturing. However, their applicability is limited in more volatile scenario…

cs.CV2025

A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing

Johannes C. Bauer, Paul Geng, Stephan Trattnig +2

Remanufacturing describes a process where worn products are restored to like-new condition and it offers vast ecological and economic potentials. A key step is the quality inspecti…

math.DS2023★ 1 cited

A Nonlinear Delay Model for Metabolic Oscillations in Yeast Cells

Max M. Chumley, Firas A. Khasawneh, Andreas Otto +1

We introduce two time-delay models of metabolic oscillations in yeast cells. Our model tests a hypothesis that the oscillations occur as multiple pathways share a limited resource…

cs.CY2022★ 7 cited

Unique Device Identification Based Linkage of Hierarchically Accessible Data Domains in Prospective Hospital Data Ecosystems

Karol Kozak, André Seidel, Nataliia Matvieieva +7

The electronic health record (EHR) targets the systematized collection of patient-specific electronically-stored health data. Currently the EHR is an evolving concept driven by ong…

cs.CV2021★ 31 cited

Nondestructive Testing of Composite Fibre Materials with Hyperspectral Imaging : Evaluative Studies in the EU H2020 FibreEUse Project

Yijun Yan, Jinchang Ren, Huan Zhao +4

Through capturing spectral data from a wide frequency range along with the spatial information, hyperspectral imaging (HSI) can detect minor differences in terms of temperature, mo…

cs.LG2020★ 2 cited

Compensating data shortages in manufacturing with monotonicity knowledge

Martin von Kurnatowski, Jochen Schmid, Patrick Link +5

Optimization in engineering requires appropriate models. In this article, a regression method for enhancing the predictive power of a model by exploiting expert knowledge in the fo…

nlin.CD2020

The dynamics of a driven harmonic oscillator coupled to pairwise interacting Ising spins in random fields

Paul Zech, Andreas Otto, Günter Radons

In general we are interested in dynamical systems coupled to complex hysteresis. Therefore as a first step we investigated recently the dynamics of a periodically driven damped har…

eess.SP2019★ 33 cited

Topological Feature Vectors for Chatter Detection in Turning Processes

Melih C. Yesilli, Firas A. Khasawneh, Andreas Otto

Machining processes are most accurately described using complex dynamical systems that include nonlinearities, time delays, and stochastic effects. Due to the nature of these model…

cs.LG2018★ 2 cited

Sparsity in Deep Neural Networks - An Empirical Investigation with TensorQuant

Dominik Marek Loroch, Franz-Josef Pfreundt, Norbert Wehn +1

Deep learning is finding its way into the embedded world with applications such as autonomous driving, smart sensors and aug- mented reality. However, the computation of deep neura…