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We consider a population spreading across a finite number of sites. Individuals can move from one site to the other according to a network (oriented links between the sites) that vary periodically over time. On each site, the population experiences a
Externí odkaz:
http://arxiv.org/abs/2411.07821
Large language models (LLMs) are being used in data science code generation tasks, but they often struggle with complex sequential tasks, leading to logical errors. Their application to geospatial data processing is particularly challenging due to di
Externí odkaz:
http://arxiv.org/abs/2410.18792
Publikováno v:
15th European Conference on Synthetic Aperture Radar, April 23 26, 2024, Munich, Germany
Remote sensing visual question answering (RSVQA) has been involved in several research in recent years, leading to an increase in new methods. RSVQA automatically extracts information from satellite images, so far only optical, and a question to auto
Externí odkaz:
http://arxiv.org/abs/2408.15642
Autor:
Tosato, Lucrezia, Boussaid, Hichem, Weissgerber, Flora, Kurtz, Camille, Wendling, Laurent, Lobry, Sylvain
Visual Question Answering for Remote Sensing (RSVQA) is a task that aims at answering natural language questions about the content of a remote sensing image. The visual features extraction is therefore an essential step in a VQA pipeline. By incorpor
Externí odkaz:
http://arxiv.org/abs/2407.08669
This paper is a follow-up to a previous work where we considered populations with time-varying growth rates living in patches and irreducible migration matrix between the patches. Each population, when isolated, would become extinct. Dispersal-induce
Externí odkaz:
http://arxiv.org/abs/2407.07553
Akademický článek
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Publikováno v:
Journal of Mathematical Biology (2024) 88:19
We consider populations with time-varying growth rates living in sinks. Each population, when isolated, would become extinct. Dispersal-induced growth (DIG) occurs when the populations are able to persist and grow exponentially when dispersal among t
Externí odkaz:
http://arxiv.org/abs/2311.04706
We wish to define the limits of a classical classification model based on deep learning when applied to abstract images, which do not represent visually identifiable objects.QR codes (Quick Response codes) fall into this category of abstract images:
Externí odkaz:
http://arxiv.org/abs/2307.10677
In a recent paper [Asymptotic of the largest Floquet multiplier for cooperative matrices Annales de la Facult\'e des Sciences de Toulouse, Tome XXXI, no 4 (2022)] P. Carmona gives an asymptotic formulae for the top Lyapunov exponent of a linear T-per
Externí odkaz:
http://arxiv.org/abs/2302.05874
Autor:
Bryan Gross, Guy Schlatter, Pascal Hébraud, Flavien Mouillard, Lotfi Chehma, Anne Hébraud, Emeline Lobry
Publikováno v:
Macromolecular Materials and Engineering, Vol 309, Iss 12, Pp n/a-n/a (2024)
Abstract Suspension electrospinning allows the environmental‐friendly fabrication of nano‐micro‐fibrous membranes since it is based on the processing of an aqueous particle suspension in which a hydrosoluble template polymer is added to insure
Externí odkaz:
https://doaj.org/article/8aa64440f1834d599e0673e95a03c138
