Zobrazeno 1 - 10
of 270
pro vyhledávání: '"Ortiz Arroyo A"'
Autor:
Mohammadi, Esmaeel, Ortiz-Arroyo, Daniel, Hansen, Aviaja Anna, Stokholm-Bjerregaard, Mikkel, Gros, Sebastien, Anand, Akhil S, Durdevic, Petar
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 characteristics make conventional control methods, such as Proportiona
Externí odkaz:
http://arxiv.org/abs/2411.18305
Autor:
Ortiz-Arroyo, Daniel, Lee, Ben
Publikováno v:
PDCS: Parallel and Distributed Computing Systems (ISCA) 2003
This paper presents the Dynamic Simultaneous Multi-threaded Architecture (DSMT). DSMT efficiently exe-cutes multiple threads from a single program on a SMT processor core. To accomplish this, threads are generated dynamically from a predictable flow
Externí odkaz:
http://arxiv.org/abs/2409.07903
Autor:
Mohammadi, Esmaeel, Rani, Anju, Stokholm-Bjerregaard, Mikkel, Ortiz-Arroyo, Daniel, Durdevic, Petar
This paper introduces the Agtrup (BlueKolding) dataset, collected from Denmark's Agtrup wastewater treatment plant, specifically designed to enhance phosphorus removal via chemical and biological methods. This rich dataset is assembled through a high
Externí odkaz:
http://arxiv.org/abs/2407.05346
Autor:
Ortiz-Arroyo, Daniel
The emergence of the microprocessor in the early 1970s allowed the design of computers that did not require the substantial economic resources of large computer companies of that era. Shortly after this event, a variety of computers based on micropro
Externí odkaz:
http://arxiv.org/abs/2406.04912
Autor:
Mohammadi, Esmaeel, Ortiz-Arroyo, Daniel, Stokholm-Bjerregaard, Mikkel, Hansen, Aviaja Anna, Durdevic, Petar
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 industrial processes like wastewater treatment. One of the challenges is the
Externí odkaz:
http://arxiv.org/abs/2403.15091
Publikováno v:
Information Fusion, 2024
In recent years, 3D point clouds (PCs) have gained significant attention due to their diverse applications across various fields, such as computer vision (CV), condition monitoring (CM), virtual reality, robotics, autonomous driving, etc. Deep learni
Externí odkaz:
http://arxiv.org/abs/2402.12923
Autor:
Mohammadi, Esmaeel, Stokholm-Bjerregaard, Mikkel, Hansen, Aviaja Anna, Nielsen, Per Halkjær, Ortiz-Arroyo, Daniel, Durdevic, Petar
Publikováno v:
Engineering Applications of Artificial Intelligence 133 (2024) 107992
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 complex and nonlinear systems, including the processes in wastewater trea
Externí odkaz:
http://arxiv.org/abs/2401.12822
Autor:
Ortiz-Arroyo, Daniel
During the last decades, a myriad of fuzzy time series models have been proposed in scientific literature. Among the most accurate models found in fuzzy time series, the high-order ones are the most accurate. The research described in this paper tack
Externí odkaz:
http://arxiv.org/abs/2310.18825
Regular inspections are crucial to maintaining waste-water pipelines in good condition. The challenge is that inside a pipeline the space is narrow and may have a complex structure. The conventional methods that use pipe robots with heavy cables are
Externí odkaz:
http://arxiv.org/abs/2310.01160
Publikováno v:
In Engineering Applications of Artificial Intelligence October 2024 136 Part A
