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Esmaeel Mohammadi

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • eess.SY2
  • cs.LG1
ORCID 0000-0001-7109-7944

identity via Semantic Scholar / OpenAlex

most citedDeep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms

28 citations · 30 across the 3 of their papers we have counts for

collaborators

3 papers

eess.SY2024★ 1 cited

Wastewater Treatment Plant Data for Nutrient Removal System

Esmaeel Mohammadi, Anju Rani, Mikkel Stokholm-Bjerregaard +2

This paper introduces the Agtrup (BlueKolding) dataset, collected from Denmark's Agtrup wastewater treatment plant, specifically designed to enhance phosphorus removal via chemical…

cs.LG2024★ 1 cited

Improved Long Short-Term Memory-based Wastewater Treatment Simulators for Deep Reinforcement Learning

Esmaeel Mohammadi, Daniel Ortiz-Arroyo, Mikkel Stokholm-Bjerregaard +2

Even though Deep Reinforcement Learning (DRL) showed outstanding results in the fields of Robotics and Games, it is still challenging to implement it in the optimization of industr…

eess.SY2024★ 28 cited

Deep Learning Based Simulators for the Phosphorus Removal Process Control in Wastewater Treatment via Deep Reinforcement Learning Algorithms

Esmaeel Mohammadi, Mikkel Stokholm-Bjerregaard, Aviaja Anna Hansen +3

Phosphorus removal is vital in wastewater treatment to reduce reliance on limited resources. Deep reinforcement learning (DRL) is a machine learning technique that can optimize com…

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