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Kißkalt, Dominik
18  results:
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1

Interactive Image Segmentation Using Superpixels and Deep M..:

Lutz, Benjamin ; Janisch, Lucas ; Kisskalt, Dominik..
Procedia CIRP.  118 (2023)  - p. 459-464 , 2023
Link: https://doi.org/10.1016/..
 
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2

Data-driven quality monitoring of needle winding processes ..:

Mayr, Andreas ; Scheffler, Fabian ; Fuder, Robert...
Procedia CIRP.  118 (2023)  - p. 873-878 , 2023
Link: https://doi.org/10.1016/..
 
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3

Artificial Intelligence-Based Assistance System for Visual ..:

Selmaier, Andreas ; Kunz, David ; Kisskalt, Dominik...
Sensors.  22 (2022)  3 - p. 811 , 2022
Link: https://doi.org/10.3390/..
 
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4

Towards "Design for Interoperability" in the context of Sys..:

Sjarov, Martin ; Kißkalt, Dominik ; Lechler, Tobias..
Procedia CIRP.  96 (2021)  - p. 145-150 , 2021
Link: https://doi.org/10.1016/..
 
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5

Towards an intelligent linear winding process through senso..:

Mayr, Andreas ; Kißkalt, Dominik ; Lomakin, Alexander..
Procedia CIRP.  96 (2021)  - p. 80-85 , 2021
Link: https://doi.org/10.1016/..
 
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6

Streamlining the development of data-driven industrial appl..:

Kißkalt, Dominik ; Mayr, Andreas ; Lutz, Benjamin..
Procedia CIRP.  93 (2020)  - p. 401-406 , 2020
Link: https://doi.org/10.1016/..
 
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7

In-situ identification of material batches using machine le..:

Lutz, Benjamin ; Kisskalt, Dominik ; Mayr, Andreas...
Journal of Intelligent Manufacturing.  32 (2020)  5 - p. 1485-1495 , 2020
Link: https://doi.org/10.1007/..
 
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8

Multi-Agent Reinforcement Learning for the Energy Optimizat..:

, In: 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE),
Bakakeu, Jupiter ; Kisskalt, Dominik ; Franke, Joerg... - p. 1-8 , 2020
Link: https://doi.org/10.1109/..
 
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9

AI-based Approach for Predicting the Machinability under Co..:

Lutz, Benjamin ; Kisskalt, Dominik ; Regulin, Daniel.
Procedia CIRP.  93 (2020)  - p. 1382-1387 , 2020
Link: https://doi.org/10.1016/..
 
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10

Evaluation of Deep Learning for Semantic Image Segmentation..:

, In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA),
Lutz, Benjamin ; Kisskalt, Dominik ; Regulin, Daniel... - p. 2008-2013 , 2019
Link: https://doi.org/10.1109/..
 
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11

Machine Learning in Production – Potentials, Challenges and..:

Mayr, Andreas ; Kißkalt, Dominik ; Meiners, Moritz...
Procedia CIRP.  86 (2019)  - p. 49-54 , 2019
Link: https://doi.org/10.1016/..
 
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12

Machine Learning in Electric Motor Production - Potentials,..:

, In: 2019 9th International Electric Drives Production Conference (EDPC),
Mayr, Andreas ; Seefried, Johannes ; Ziegler, Marco... - p. 1-10 , 2019
Link: https://doi.org/10.1109/..
 
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13

A novel approach for data-driven process and condition moni..:

Kißkalt, Dominik ; Fleischmann, Hans ; Kreitlein, Sven..
Production Engineering.  12 (2018)  3-4 - p. 525-533 , 2018
Link: https://doi.org/10.1007/..
 
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14

Artificial Intelligence-Based Assistance System for Visual ..:

Selmaier, Andreas ; Kunz, David ; Kisskalt, Dominik...
https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/18367.  , 2022
Link: https://opus4.kobv.de/op..
 
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15

Artificial Intelligence-Based Assistance System for Visual ..:

Selmaier, Andreas ; Kunz, David ; Kisskalt, Dominik...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8839364/.  , 2022
Link: http://www.ncbi.nlm.nih...
 
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