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van de Sand, Ron
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1

Transfer of Industry 4.0 Knowledge to SME Employing the Con..:

, In: Lecture Notes in Networks and Systems; Learning Factories of the Future,
Prell, Bastian ; Günther, Norman ; Wilbers, Simon.. - p. 286-293 , 2024
Link: https://doi.org/10.1007/..
 
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2

A Data-Driven Approach Towards the Application of Reinforce..:

Falk, Constantin ; El Ghayed, Tarek ; Van de Sand, Ron.
Journal of the Nigerian Society of Physical Sciences.  , 2023
Link: https://doi.org/10.46481..
 
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3

Data-driven fault diagnosis for heterogeneous chillers usin..:

van de Sand, Ron ; Corasaniti, Sandra ; Reiff-Stephan, Jörg
Control Engineering Practice.  112 (2021)  - p. 104815 , 2021
Link: https://doi.org/10.1016/..
 
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4

A Comparison Study of Data-Driven Anomaly Detection Approac..:

Falk, Constantin ; Van de Sand, Ron ; Corasaniti, Sandra.
TH Wildau Engineering and Natural Sciences Proceedings.  1 (2021)  - p. , 2021
Link: https://doi.org/10.52825..
 
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5

Implementation of a Machine Tool Retrofit System:

Dietrich, Alexander ; Van de Sand, Ron ; Reiff-Stephan, Jörg
TH Wildau Engineering and Natural Sciences Proceedings.  1 (2021)  - p. , 2021
Link: https://doi.org/10.52825..
 
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6

Positive-Unlabelled Learning based Novelty Detection for In..:

Van de Sand, Ron ; Corasaniti, Sandra ; Reiff-Stephan, Jörg
TH Wildau Engineering and Natural Sciences Proceedings.  1 (2021)  - p. , 2021
Link: https://doi.org/10.52825..
 
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7

Concept Towards Segmenting Arm Areas for Robot-Based Dermat..:

Szymanski, Mateusz ; Van de Sand, Ron ; Tauscher, Esther..
TH Wildau Engineering and Natural Sciences Proceedings.  1 (2021)  - p. , 2021
Link: https://doi.org/10.52825..
 
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8

A data-driven fault diagnosis approach towards oil retentio..:

, In: 2019 International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE),
van de Sand, Ron ; Falk, Constantin ; Corasaniti, Sandra. - p. 197-202 , 2019
Link: https://doi.org/10.1109/..
 
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9

Industrie 5.0 Lernumgebung am Beispiel der Wildauer Smart P..:

Günther, Norman ; Prell, Bastian ; van de Sand, Ron.
https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1853.  , 2024
Link: https://opus4.kobv.de/op..
 
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10

Industrie 5.0 Lernumgebung am Beispiel der Wildauer Smart P..:

Günther, Norman ; Prell, Bastian ; van de Sand, Ron.
978-3-910103-02-3.  , 2024
Link: https://nbn-resolving.or..
 
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11

A Data-Driven Approach Towards the Application of Reinforce..:

Falk, Constantin ; El Ghayed, Tarek ; van de Sand, Ron.
https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1706.  , 2023
Link: https://opus4.kobv.de/op..
 
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12

Automatisierte Erkennung von Messarealen bei robotergestütz..:

Szymanski, Mateusz ; van de Sand, Ron ; Rieckmann, Olaf.
https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1711.  , 2023
Link: https://opus4.kobv.de/op..
 
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13

Modellansatz zur Prozessoptimierung beim hydroadhäsiven Gre..:

El Ghayed, Tarek ; Falk, Constantin ; Wilbers, Simon..
https://opus4.kobv.de/opus4-th-wildau/frontdoor/index/index/docId/1715.  , 2023
Link: https://opus4.kobv.de/op..
 
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14

Automatisierte Erkennung von Messarealen bei robotergestütz..:

Szymanski, Mateusz ; van de Sand, Ron ; Rieckmann, Olaf.
978-3-910103-01-6.  , 2023
Link: https://nbn-resolving.or..
 
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15

Modellansatz zur Prozessoptimierung beim hydroadhäsiven Gre..:

El Ghayed, Tarek ; Falk, Constantin ; Wilbers, Simon..
978-3-910103-01-6.  , 2023
Link: https://nbn-resolving.or..
 
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