Zobrazeno 1 - 10
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pro vyhledávání: '"Durdević, A."'
Autor:
Del Donno, Antonio
In this thesis we study the Durdevic theory of differential calculi on quantum principal bundles within the domain of noncommutative geometry. Throughout the exposition, an algebraic approach based on Hopf algebras is employed. We begin by briefly re
Externí odkaz:
http://arxiv.org/abs/2406.16882
We revisit and extend the Durdevic theory of complete calculi on quantum principal bundles. In this setting one naturally obtains a graded Hopf-Galois extension of the higher order calculus and an intrinsic decomposition of degree 1-forms into horizo
Externí odkaz:
http://arxiv.org/abs/2404.07944
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:
Hansen, Laura Debel, Rani, Anju, Stokholm-Bjerregaard, Mikkel Algren, Stentoft, Peter Alexander, Arroyo, Daniel Ortiz, Durdevic, Petar
In this paper, we present two years of high-resolution nitrous oxide ($N_2O$) measurements for time series modeling and forecasting in wastewater treatment plants (WWTP). The dataset comprises frequent, real-time measurements from a full-scale WWTP,
Externí odkaz:
http://arxiv.org/abs/2407.05959
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
Akademický článek
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Akademický článek
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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