Fouad Bahrpeyma

17 papers B 1C 3Journal 6Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Meta-learner approach to multistep-ahead time series prediction.
Int. J. Data Sci. Anal.
Fouad Bahrpeyma, Vuong M. Ngo, Mark Roantree, Andrew McCarren
2025 — conf
A state-of-the-art review of Digital Twins from the perspective of practitioners.
ICC Workshops
Javad Ghofrani, Sadra Nasiri, Basil Ugbomoiko, Dirk Reichelt, Fouad Bahrpeyma
2024 C conf
Application of Inhomogeneous QMIX in Various Architectures to Solve Dynamic Scheduling in Manufacturing Environments.
INDIN
David Heik, Alexander Böhm, Fouad Bahrpeyma, Dirk Reichelt
2024 C conf
Positioning Stabilization With Reinforcement Learning for Multi-Step Robot Positioning Tasks in Nvidia Omniverse.
INDIN
Abishek Sunilkumar, Fouad Bahrpeyma, Dirk Reichelt
2023 C conf
An end to end workflow for synthetic data generation for robust object detection
INDIN
Johannes Metzler, Fouad Bahrpeyma, Dirk Reichelt
2023 — conf
Application of Multi-agent Reinforcement Learning to the Dynamic Scheduling Problem in Manufacturing Systems.
LOD (2)
David Heik, Fouad Bahrpeyma, Dirk Reichelt
2023 — conf
Solving a Dynamic Scheduling Problem for a Manufacturing System with Reinforcement Learning.
IntelliSys (2)
David Heik, Fouad Bahrpeyma, Dirk Reichelt
2022 — conf
A Concept for QoS Management in SOA-Based SoS Architectures.
ISDA (1)
Ingolf Gehrhardt, Fouad Bahrpeyma, Dirk Reichelt
2022 J jnl
A review of the applications of multi-agent reinforcement learning in smart factories.
Frontiers Robotics AI
Fouad Bahrpeyma, Dirk Reichelt
2022 — conf
An Application of Reinforcement Learning in Industrial Cyber-Physical Systems.
OVERLAY@AI*IA
David Heik, Fouad Bahrpeyma, Dirk Reichelt
2022 — conf
Dynamic Job Shop Scheduling in an Industrial Assembly Environment Using Various Reinforcement Learning Techniques.
ISDA (3)
David Heik, Fouad Bahrpeyma, Dirk Reichelt
2018 B conf
Multistep-ahead Prediction: A Comparison of Analytical and Algorithmic Approaches.
DaWaK
Fouad Bahrpeyma, Mark Roantree, Andrew McCarren
2017 — conf
Multi-Resolution Forecast Aggregation for Time Series in Agri Datasets.
AICS
Fouad Bahrpeyma, Mark Roantree, Andrew McCarren
2016 J jnl
A bipolar resource management framework for resource provisioning in Cloud's virtualized environment.
Appl. Soft Comput.
Fouad Bahrpeyma, Hassan Haghighi, Ali Zakerolhosseini
2016 J jnl
Active fuzzy modeling for estimating problems in hydrocarbon reservoirs.
Neural Comput. Appl.
Mehdi Fasanghari, Fouad Bahrpeyma, Fariborz Jolai
2015 J jnl
An adaptive RL based approach for dynamic resource provisioning in Cloud virtualized data centers.
Computing
Fouad Bahrpeyma, Hassan Haghighi, Ali Zakerolhosseini
2015 J jnl
Using IDS fitted Q to develop a real-time adaptive controller for dynamic resource provisioning in Cloud's virtualized environment.
Appl. Soft Comput.
Fouad Bahrpeyma, Ali Zakerolhosseini, Hassan Haghighi