Zobrazeno 1 - 10
of 68
pro vyhledávání: '"A. Quera-Bofarull"'
Agent-based modeling (ABM) offers powerful insights into complex systems, but its practical utility has been limited by computational constraints and simplistic agent behaviors, especially when simulating large populations. Recent advancements in lar
Externí odkaz:
http://arxiv.org/abs/2409.10568
Autor:
Chopra, Ayush, Quera-Bofarull, Arnau, Giray-Kuru, Nurullah, Wooldridge, Michael, Raskar, Ramesh
The practical utility of agent-based models in decision-making relies on their capacity to accurately replicate populations while seamlessly integrating real-world data streams. Yet, the incorporation of such data poses significant challenges due to
Externí odkaz:
http://arxiv.org/abs/2404.12983
Agent-based models (ABMs) are a promising approach to modelling and reasoning about complex systems, yet their application in practice is impeded by their complexity, discrete nature, and the difficulty of performing parameter inference and optimisat
Externí odkaz:
http://arxiv.org/abs/2307.01085
Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiability of the mathematical operations comprising these models present a
Externí odkaz:
http://arxiv.org/abs/2305.15340
Autor:
Chopra, Ayush, Rodríguez, Alexander, Subramanian, Jayakumar, Quera-Bofarull, Arnau, Krishnamurthy, Balaji, Prakash, B. Aditya, Raskar, Ramesh
Mechanistic simulators are an indispensable tool for epidemiology to explore the behavior of complex, dynamic infections under varying conditions and navigate uncertain environments. Agent-based models (ABMs) are an increasingly popular simulation pa
Externí odkaz:
http://arxiv.org/abs/2207.09714
The ultraviolet (UV) bright accretion disc in active galactic nuclei (AGN) should give rise to line driving, producing a powerful wind which may play an important role in AGN feedback as well as in producing structures like the broad line region. How
Externí odkaz:
http://arxiv.org/abs/2111.02742
Autor:
Quera-Bofarull, Arnau, Done, Chris, Lacey, Cedric, McDowell, Jonathan C., Risaliti, Guido, Elvis, Martin
Ultraviolet (UV) line driven winds may be an important part of the active galactic nucleus (AGN) feedback process, but understanding their impact is hindered by the complex nature of the radiation hydrodynamics. Instead, we have taken the approach pi
Externí odkaz:
http://arxiv.org/abs/2001.04720
Publikováno v:
Proc. SPIE 10953, Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and Functional Imaging, 109531Z (15 March 2019)
X-Ray image enhancement, along with many other medical image processing applications, requires the segmentation of images into bone, soft tissue, and open beam regions. We apply a machine learning approach to this problem, presenting an end-to-end so
Externí odkaz:
http://arxiv.org/abs/1812.00548
When the gravitational lensing of the large-scale structure is calculated from a cosmological model a few assumptions enter: $(i)$ one assumes that the photons follow unperturbed background geodesics, which is usually referred to as the Born-approxim
Externí odkaz:
http://arxiv.org/abs/1801.03325
Autor:
Ali Ardalan, Chao Huang, Ian Hall, Egmond Samir Evers, Hussien Ahmed, Robert Tucker Gilman, Keyrellous Adib, Lubna Al Ariqi, Pierre Nabeth, David Kennedy, Kevin Fong, Joseph Aylett-Bullock, Anjali Katta, Kai von Harbou, Katherine Hoffmann Pham, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, Allen Gidraf Kahindo Maina, Tinka Valentijn, Sandra Harlass, Frank Krauss, Rebeca Moreno Jimenez, Tina Comes, Mariken Gaanderse, Leonardo Milano, Miguel Luengo-Oroz
Publikováno v:
BMJ Global Health, Vol 7, Iss 3 (2022)
The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world’s most vulnerable populations at risk. Epidemiological modelling
Externí odkaz:
https://doaj.org/article/4746f6ed75d1498c8f7a10c8a6d46816
