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Fouad Bahrpeyma
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2020 – today
- 2023
- [c8]Johannes Metzler, Fouad Bahrpeyma, Dirk Reichelt:
An end to end workflow for synthetic data generation for robust object detection*. INDIN 2023: 1-7 - [c7]David Heik, Fouad Bahrpeyma, Dirk Reichelt:
Solving a Dynamic Scheduling Problem for a Manufacturing System with Reinforcement Learning. IntelliSys (2) 2023: 413-432 - [c6]David Heik, Fouad Bahrpeyma, Dirk Reichelt:
Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems. LOD (2) 2023: 237-254 - 2022
- [j5]Fouad Bahrpeyma, Dirk Reichelt:
A review of the applications of multi-agent reinforcement learning in smart factories. Frontiers Robotics AI 9 (2022) - [c5]David Heik, Fouad Bahrpeyma, Dirk Reichelt:
An Application of Reinforcement Learning in Industrial Cyber-Physical Systems. OVERLAY@AI*IA 2022: 51-55 - [c4]Ingolf Gehrhardt, Fouad Bahrpeyma, Dirk Reichelt:
A Concept for QoS Management in SOA-Based SoS Architectures. ISDA (1) 2022: 271-285 - [c3]David Heik, Fouad Bahrpeyma, Dirk Reichelt:
Dynamic Job Shop Scheduling in an Industrial Assembly Environment Using Various Reinforcement Learning Techniques. ISDA (3) 2022: 523-533
2010 – 2019
- 2018
- [c2]Fouad Bahrpeyma, Mark Roantree, Andrew McCarren:
Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches. DaWaK 2018: 345-354 - 2017
- [c1]Fouad Bahrpeyma, Mark Roantree, Andrew McCarren:
Multi-Resolution Forecast Aggregation for Time Series in Agri Datasets. AICS 2017: 193-205 - 2016
- [j4]Fouad Bahrpeyma, Hassan Haghighi, Ali Zakerolhosseini:
A bipolar resource management framework for resource provisioning in Cloud's virtualized environment. Appl. Soft Comput. 46: 487-500 (2016) - [j3]Mehdi Fasanghari, Fouad Bahrpeyma, Fariborz Jolai:
Active fuzzy modeling for estimating problems in hydrocarbon reservoirs. Neural Comput. Appl. 27(7): 1981-1992 (2016) - 2015
- [j2]Fouad Bahrpeyma, Ali Zakerolhosseini, Hassan Haghighi:
Using IDS fitted Q to develop a real-time adaptive controller for dynamic resource provisioning in Cloud's virtualized environment. Appl. Soft Comput. 26: 285-298 (2015) - [j1]Fouad Bahrpeyma, Hassan Haghighi, Ali Zakerolhosseini:
An adaptive RL based approach for dynamic resource provisioning in Cloud virtualized data centers. Computing 97(12): 1209-1234 (2015)
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