Zobrazeno 1 - 10
of 4 996
pro vyhledávání: '"P. Bjerregaard"'
Faithful quantum state transfer between telecom photons and microwave frequency mechanical oscillations necessitate a fast conversion rate and low thermal noise. Two-dimensional (2D) optomechanical crystals (OMCs) are favorable candidates that satisf
Externí odkaz:
http://arxiv.org/abs/2408.12474
The presence of gas pores in metal feedstock powder for additive manufacturing greatly affects the final AM product. Since current porosity analysis often involves lengthy X-ray computed tomography (XCT) scans with a full rotation around the sample,
Externí odkaz:
http://arxiv.org/abs/2408.02427
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
Kniha
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Tan, Shawn Zheng Kai, Baksi, Shounak, Bjerregaard, Thomas Gade, Elangovan, Preethi, Gopalakrishnan, Thrishna Kuttikattu, Hric, Darko, Joumaa, Joffrey, Li, Beidi, Rabbani, Kashif, Venkatesan, Santhosh Kannan, Valdez, Joshua Daniel, Kuriakose, Saritha Vettikunnel
Biomedical data is growing exponentially, and managing it is increasingly challenging. While Findable, Accessible, Interoperable and Reusable (FAIR) data principles provide guidance, their adoption has proven difficult, especially in larger enterpris
Externí odkaz:
http://arxiv.org/abs/2405.05413
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
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
We demonstrate a memory for light based on optomechanically induced transparency. We achieve a long storage time by leveraging the ultra-low dissipation of a soft-clamped mechanical membrane resonator, which oscillates at MHz frequencies. At room tem
Externí odkaz:
http://arxiv.org/abs/2308.05206
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.