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D. O. Arroyo

14 papers hereh-index 6142 citations26 works total

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

author position
  • middle author13
  • last author1

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.LG3
  • eess.SY3
  • cs.AI1
  • cs.CL1
  • cs.RO1
same name
  • D. O. Arroyo — 1 paper, h 10

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20232026
most citedAdvancements in Point Cloud-Based 3D Defect Detection and Classification for Industrial Systems: A Comprehensive Survey

54 citations · 131 across the 14 of their papers we have counts for

collaborators
Showing eess.SYShow all

3 papers · 1 filter

eess.SY2024★ 28 cited

Application of Soft Actor-Critic Algorithms in Optimizing Wastewater Treatment with Time Delays Integration

Esmaeel Mohammadi, Daniel Ortiz-Arroyo, Aviaja Anna Hansen +4

Wastewater treatment plants face unique challenges for process control due to their complex dynamics, slow time constants, and stochastic delays in observations and actions. These…

eess.SY2024★ 5 cited

Time Series Dataset for Modeling and Forecasting of N2​O in Wastewater Treatment

Laura Debel Hansen, Anju Rani, Mikkel Algren Stokholm-Bjerregaard +3

In this paper, we present two years of high-resolution nitrous oxide (N2​O) measurements for time series modeling and forecasting in wastewater treatment plants (WWTP). The datas…

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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