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Composition of Photosynthetic Gas Bubbles From Submerged Macrophytes

Water resources research, 2024-01, Vol.60 (1), p.n/a

2024

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Entwicklung Datenbasierter Produkt-Service Systeme: Ein Ansatz Zur Realisierung Verfügbarkeitsorientierter Geschäftsmodelle

1. Aufl. 2019 edition., 2019

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CAD-based data augmentation and transfer learning empowers part classification in manufacturing

International journal of advanced manufacturing technology, 2023-04, Vol.125 (11-12), p.5605-5618

2023

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Wann soll ein Leberkranker auf die Intensivstation?

Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2024-09, Vol.119 (6), p.470-477

2024

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Predicting the martensite content of metastable austenitic steels after cryogenic turning using machine learning

International journal of advanced manufacturing technology, 2021-07, Vol.115 (3), p.749-757

2021

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Characterization of deformation induced surface hardening during cryogenic turning of AISI 347

CIRP annals, 2014, Vol.63 (1), p.65-68

2014

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Correction to: Predicting the martensite content of metastable austenitic steels after cryogenic turning using machine learning

International journal of advanced manufacturing technology, 2021-11, Vol.117 (5-6), p.2009-2009

2021

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Edge-based Digital Twin to trace and ensure sustainability in cross-company production networks

Procedia CIRP, 2021, Vol.98, p.276-281

2021

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Explainable generative design in manufacturing for reinforcement learning based factory layout planning

Journal of manufacturing systems, 2024-02, Vol.72, p.74-92

2024

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Functional investigation of zero lead radial shaft seal counter-surfaces turned with a special method

Tribology international, 2018-02, Vol.118, p.442-450

2018

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When should a liver disease patient be admitted to the intensive care unit?

Medizinische Klinik, Intensivmedizin und Notfallmedizin, 2024-09, Vol.119 (6), p.470

2024

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Pathophysiological background and prognostic implication of systolic aortic root motion in non-ischemic dilated cardiomyopathy

Scientific reports, 2019-03, Vol.9 (1), p.3866, Article 3866

2019

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A new method combining BIM and GIS data to optimise the sustainability of new construction projects in Switzerland

IOP conference series. Earth and environmental science, 2022-12, Vol.1122 (1), p.12052

2022

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Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow

Procedia CIRP, 2024, Vol.121, p.138-143

2024

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Development of a Machine Learning Model that represents the characteristics of a Manufacturing Systems

Procedia CIRP, 2024, Vol.122, p.175-180

2024

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Is it possible to develop a digital twin for noise monitoring in manufacturing?

Digital twin, 2024, Vol.4, p.4

2024

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Scalability investigation of Double Deep Q Learning for factory layout planning

Procedia CIRP, 2022, Vol.107, p.161-166

2022

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Framework for synergetic integration of heterogenous Digital Twins in Manufacturing Systems

Procedia CIRP, 2023, Vol.120, p.798-803

2023

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A process planning system using deep artificial neural networks for the prediction of operation sequences

Procedia CIRP, 2023, Vol.120, p.135-140

2023

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Training a Machine Learning Model for representing Manufacturing Systems towards optimizing Resilience

Procedia CIRP, 2023, Vol.120, p.768-773

2023

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PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control

Procedia CIRP, 2022, Vol.112, p.483-488

2022

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Exploration of the potential of polymer 4D printing: Experiments on the printing quality and the impact of temperature and geometry on the shape-changing effect

Procedia CIRP, 2021, Vol.103, p.103-108

2021

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Unidimensional Longitudinal Strain: A Simple Approach for the Assessment of Longitudinal Myocardial Deformation by Echocardiography

Journal of the American Society of Echocardiography, 2018-06, Vol.31 (6), p.733-742

2018

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Object detection in factory based on deep learning approach

Procedia CIRP, 2021, Vol.104, p.1029-1034

2021

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Concept for Planning and Controlling of Multiple, Parallel Engineering Changes in Manufacturing Systems

Advanced Materials Research, 2016-08, Vol.1140, p.497-504

2016

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Composition of Photosynthetic Gas Bubbles From Submerged Macrophytes

Entwicklung Datenbasierter Produkt-Service Systeme: Ein Ansatz Zur Realisierung Verfügbarkeitsorientierter Geschäftsmodelle

CAD-based data augmentation and transfer learning empowers part classification in manufacturing

Wann soll ein Leberkranker auf die Intensivstation?

Predicting the martensite content of metastable austenitic steels after cryogenic turning using machine learning

Characterization of deformation induced surface hardening during cryogenic turning of AISI 347

Correction to: Predicting the martensite content of metastable austenitic steels after cryogenic turning using machine learning

Edge-based Digital Twin to trace and ensure sustainability in cross-company production networks

Explainable generative design in manufacturing for reinforcement learning based factory layout planning

Functional investigation of zero lead radial shaft seal counter-surfaces turned with a special method

When should a liver disease patient be admitted to the intensive care unit?

Pathophysiological background and prognostic implication of systolic aortic root motion in non-ischemic dilated cardiomyopathy

A new method combining BIM and GIS data to optimise the sustainability of new construction projects in Switzerland

Comparing Binary Classification and Autoencoders for Vision-Based Anomaly Detection in Material Flow

Development of a Machine Learning Model that represents the characteristics of a Manufacturing Systems

Is it possible to develop a digital twin for noise monitoring in manufacturing?

Scalability investigation of Double Deep Q Learning for factory layout planning

Framework for synergetic integration of heterogenous Digital Twins in Manufacturing Systems

A process planning system using deep artificial neural networks for the prediction of operation sequences

Training a Machine Learning Model for representing Manufacturing Systems towards optimizing Resilience

PREVIS - A Combined Machine Learning and Visual Interpolation Approach for Interactive Reverse Engineering in Assembly Quality Control

Exploration of the potential of polymer 4D printing: Experiments on the printing quality and the impact of temperature and geometry on the shape-changing effect

Unidimensional Longitudinal Strain: A Simple Approach for the Assessment of Longitudinal Myocardial Deformation by Echocardiography

Object detection in factory based on deep learning approach

Concept for Planning and Controlling of Multiple, Parallel Engineering Changes in Manufacturing Systems

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