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Issue Date
Title
Author(s)
1
2021
Machine learning-based prediction of missing components for assembly - a case study at an engineer-to-order manufacturer
Steinberg, Fabian
; Burggräf, Peter
; Wagner, Johannes
; Heinbach, Benjamin
2
2020
Learning machine monitoring models from sparse and noisy sensor data annotations
Reich, Christian
3
2022
Machine learning with nonlinear state space models
Schüssler, Max
4
2020
Understanding images via visual similarity and deep feature representations
Ha, Mai Lan
5
2021
Modern optimization techniques in computer vision
Geiping, Jonas
6
2021
Probabilistic freespace prediction in structured traffic environments for trajectory planning
Schlechtriemen, Julian David
7
2021
Machine learning with finite impulse response models
Münker, Tobias
8
2021
Comprehensive machine and deep learning fault detection and classification approaches of industry 4.0 mechanical machineries: with application to a hydraulic test rig
Mallak, Ahlam
9
2020
Approaches for the prediction of lead times in an engineer to order environment - a systematic review
Burggräf, Peter
; Wagner, Johannes
; Koke, Benjamin
; Steinberg, Fabian
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Doctoral Thesis
2
Article
Author
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Burggräf, Peter
2
Steinberg, Fabian
2
Wagner, Johannes
1
Geiping, Jonas
1
Ha, Mai Lan
1
Heinbach, Benjamin
1
Koke, Benjamin
1
Mallak, Ahlam
1
Münker, Tobias
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Reich, Christian
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Subject
6
620 Ingenieurwissenschaften und z...
6
Machine Learning
3
Machine learning
2
004 Informatik
2
Anomalieerkennung
2
Lead time reduction
2
Neuronale Netze
2
Prediction methods
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Systemidentifikation
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Date issued
1
2022
5
2021
3
2020