Zobrazeno 1 - 10
of 646
pro vyhledávání: '"Durdević, A."'
Publikováno v:
Biologica Nyssana, Vol 3, Iss 2, Pp 47-51 (2012)
The article presents the results of research of butterfly species at Ženeva pond near the river Nišava (SE Serbia). In all, the total of 45 species was recorded, representing 23% of Serbian butterfly fauna. Among species recorded, 4 are listed in R
Externí odkaz:
https://doaj.org/article/6e15b30925134cbfaba5922da79deb98
Autor:
Đurđević, A., Đurić, M.
Publikováno v:
Biologica Nyssana, Vol 2, Iss 2, Pp 129-130 (2011)
A longhorn beetle species, Blepisanis vittipennis, known so far in Europe but only from Greece and Bulgaria, was recorded for the first time in the fauna of Serbia, increasing number of recorded longhorn beetle species to 238.
Externí odkaz:
https://doaj.org/article/d8dc4eaa4b084fc98cf710e5269a575f
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
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
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
Automatic visual inspection of synthetic fibre ropes (SFRs) is a challenging task in the field of offshore, wind turbine industries, etc. The presence of any defect in SFRs can compromise their structural integrity and pose significant safety risks.
Externí odkaz:
http://arxiv.org/abs/2309.17058