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Lukas Malburg

Lukas Malburg

Informatikwissenschaften, Universität Trier

Trier

  • 0000-0002-6866-0799
Publikationen
Ergebnisse pro Seite:  10

Schultheis, Alexander; Alt, Benjamin; Bast, Sebastian et al.

EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial Manufacturing

KI - Künstliche Intelligenz. Bd. 0. Springer 2024 s13218-024-00868-3


Guldner, Achim; Hoffmann, Maximilian; Lohr, Christian et al.

A framework for AI-based self-adaptive cyber-physical process systems.

it Inf. Technol. Bd. 65. H. 3. 2023 S. 113 - 128


Malburg, Lukas; Hoffmann, Maximilian; Bergmann, Ralph

Applying MAPE-K control loops for adaptive workflow management in smart factories.

J. Intell. Inf. Syst. Bd. 61. H. 1. 2023 S. 83 - 111


Mangler, Juergen; Grüger, Joscha; Malburg, Lukas et al.

DataStream XES Extension: Embedding IoT Sensor Data into Extensible Event Stream Logs.

Future Internet. Bd. 15. H. 3. 2023 S. 109


Schultheis, Alexander; Hoffmann, Maximilian; Malburg, Lukas et al.

Explanation of Similarities in Process-Oriented Case-Based Reasoning by Visualization.

ICCBR. 2023 S. 53 - 68


Grüger, Joscha; Malburg, Lukas; Bergmann, Ralph

IoT-enriched event log generation and quality analytics: a case study.

it Inf. Technol. Bd. 65. H. 3. 2023 S. 128 - 138


Malburg, Lukas; Schultheis, Alexander; Bergmann, Ralph

Modeling and Using Complex IoT Time Series Data in Case-Based Reasoning: From Application Scenarios to Implementations.

ICCBR Workshops. 2023 S. 81 - 96



Brand, Florian; Lott, Katharina; Malburg, Lukas et al.

Using Deep Reinforcement Learning for the Adaptation of Semantic Workflows.

ICCBR Workshops. 2023 S. 55 - 70


Malburg, Lukas; Brand, Florian; Bergmann, Ralph

Adaptive Management of Cyber-Physical Workflows by Means of Case-Based Reasoning and Automated Planning.

EDOC Workshops. 2022 S. 79 - 95