E-LIB Suche - Ergebnisse für: Brandenburger, Jens

1

Human Impact in Complex Classification of Steel Coils:

, In: Information Systems and Technologies; Lecture Notes in Networks and Systems,

Ordieres-Meré, Joaquín ; Bello-García, Antonio ; Rajabi, Ahmad. - p. 256-265 , 2024

Link: https://doi.org/10.1007/..

2

Smart Workflows for Advanced Quality Assessment in Steel In..:

, In: Advances in Manufacturing IV; Lecture Notes in Mechanical Engineering,

Ordieres-Meré, Joaquin ; Rahabi, Ahmad ; Falkowski, Daniel... - p. 57-67 , 2024

Link: https://doi.org/10.1007/..

3

Quantifizierung der Klassifikationsleistung von Oberflächen..:

Brandenburger, Jens ; Krippendorff, Fabian ; Krätzner, Michael...
tm - Technisches Messen. 90 (2023) 10 - p. 650-658 , 2023

Link: https://doi.org/10.1515/..

4

A hybrid approach for improving the flexibility of producti..:

Iannino, Vincenzo ; Colla, Valentina ; Maddaloni, Alessandro...
Integrated Computer-Aided Engineering. 29 (2022) 4 - p. 367-387 , 2022

Link: https://doi.org/10.3233/..

5

Unsupervised Deep Learning for Detection of Non-uniform Sur..:

, In: Advances in Intelligent Systems and Computing; Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry,

Camargo-Torres, Nicolas ; Brandenburger, Jens - p. 92-103 , 2021

Link: https://doi.org/10.1007/..

6

Improving the Flexibility of Production Scheduling in Flat ..:

, In: IFIP Advances in Information and Communication Technology; Artificial Intelligence Applications and Innovations,

Iannino, Vincenzo ; Colla, Valentina ; Maddaloni, Alessandro... - p. 619-632 , 2021

Link: https://doi.org/10.1007/..

7

Quality 4.0 - Transparent Product Quality Supervision in th..:

, In: Advances in Intelligent Systems and Computing; Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry,

Brandenburger, Jens ; Schirm, Christoph ; Melcher, Josef... - p. 54-66 , 2021

Link: https://doi.org/10.1007/..

8

Cause and Effect Analysis in a Real Industrial Context: Stu..:

, In: Neural Advances in Processing Nonlinear Dynamic Signals; Smart Innovation, Systems and Technologies,

Cateni, Silvia ; Colla, Valentina ; Vignali, Antonella. - p. 219-228 , 2018

Link: https://doi.org/10.1007/..

9

Independent performance assessment of automatic surface ins..

EUR, Research Fund for Coal and Steel, 29539

Brandenburger, Jens ; Krambeer, Hagen ; Schirm, Christoph... , 2018

Link: https://data.europa.eu/d..

10

Refinement of flat steel quality assessment by evaluation o..

EUR. Research Fund for Coal and Steel, 28147

Brandenburger, Jens ; Melcher, Josef ; Ferro, Floriano... , 2016

Link: http://dx.publications.e..

11

Refinement of flat steel quality assessment by evaluation o..

EUR. Research Fund for Coal and Steel, 28147

Brandenburger, Jens ; Melcher, Josef ; Ferro, Floriano... , 2016

Link: http://dx.publications.e..

12

Improved monitoring and control of flat steel surface quali..

EUR. Research Fund for Coal and Steel, 26679

Brandenburger, Jens ; Piancaldini, Roberto ; Talamini, Daniele... , 2014

Link: http://dx.publications.e..

13

Improved utilisation of the results from automatic surface ..:

Brandenburger, Jens ; Stolzenberg, Mathias ; Ferro, Floriano... , 2012

Link: http://dx.publications.e..

14

Erhöhung der Energie- und Ressourceneffizienz bei der Elek..

Schlussbericht ; 5. Energieforschungsprogramm der Bundesreg... Bericht / BFI VDEh-Betriebsforschungsinstitut GmbH ; 2.31.003

Brandenburger, Jens , 2010

Link: http://edok01.tib.uni-ha..

15

Dynamic production scheduling for flat steel production:

Brandenburger, Jens ; Ahmad Rajabi ; Andreas Wolff...
doi:10.5281/zenodo.8059265. , 2023

Link: https://zenodo.org/recor..