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Mikkel Stokholm-Bjerregaard
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2020 – today
- 2024
- [j2]Esmaeel Mohammadi, Mikkel Stokholm-Bjerregaard, Aviaja Anna Hansen, Per Halkjær Nielsen, Daniel Ortiz Arroyo, Petar Durdevic:
Deep learning based simulators for the phosphorus removal process control in wastewater treatment via deep reinforcement learning algorithms. Eng. Appl. Artif. Intell. 133: 107992 (2024) - [c1]Esmaeel Mohammadi, Daniel Ortiz Arroyo, Mikkel Stokholm-Bjerregaard, Petar Durdevic:
Multi-Step Simulation Improvement for Time Series Using Exogenous State Variables. ICINCO (1) 2024: 651-659 - [i4]Esmaeel Mohammadi, Mikkel Stokholm-Bjerregaard, Aviaja Anna Hansen, Per Halkjær Nielsen, Daniel Ortiz Arroyo, Petar Durdevic:
Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms. CoRR abs/2401.12822 (2024) - [i3]Esmaeel Mohammadi, Daniel Ortiz Arroyo, Mikkel Stokholm-Bjerregaard, Aviaja Anna Hansen, Petar Durdevic:
Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning. CoRR abs/2403.15091 (2024) - [i2]Esmaeel Mohammadi, Anju Rani, Mikkel Stokholm-Bjerregaard, Daniel Ortiz Arroyo, Petar Durdevic:
Wastewater Treatment Plant Data for Nutrient Removal System. CoRR abs/2407.05346 (2024) - [i1]Laura Debel Hansen, Anju Rani, Mikkel Stokholm-Bjerregaard, Peter Alexander Stentoft, Daniel Ortiz Arroyo, Petar Durdevic:
Time Series Dataset for Modeling and Forecasting of N2O in Wastewater Treatment. CoRR abs/2407.05959 (2024) - 2022
- [j1]Laura Debel Hansen, Mikkel Stokholm-Bjerregaard, Petar Durdevic:
Modeling phosphorous dynamics in a wastewater treatment process using Bayesian optimized LSTM. Comput. Chem. Eng. 160: 107738 (2022)
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last updated on 2024-12-13 20:05 CET by the dblp team
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