Výsledky vyhledávání - "Astrid Jourdan"

A sensitivity analysis indicator to adapt the shift length in a metaheuristic

Autor: Peio Loubiere, Astrid Jourdan, Patrick Siarry, Rachid Chelouah

Publikováno v: 2020 IEEE Congress on Evolutionary Computation (CEC)
2020 IEEE Congress on Evolutionary Computation (CEC), Jul 2020, Glasgow, France. pp.1-6, ⟨10.1109/CEC48606.2020.9185895⟩
CEC

Population based metaheuristics (e.g. Genetic Algorithm, Particle Swarm Optimization, …) deal with a dichotomy between exploration (discover unexplored areas) and exploitation (dig around a good solution). The consequence is a wide exploration of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::faa5670aea6853f5e1849288907c937f
https://hal.archives-ouvertes.fr/hal-03287166

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Evaluation of Maximum Likelihood Estimation and regression methods for fusion of multiple satellite Aerosol Optical Depth data over Vietnam

Autor: Astrid Jourdan, Ngo Xuan Truong, Nguyen Thi Nhat Thanh, Pham Van Ha, Dominique Laffly

Publikováno v: KSE

This paper applied different data fusion methods including Maximum Likelihood Estimation (MLE) and Linear Regression methods on satellite images over Vietnam areas from Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible Infrared Imagin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f95cee026aeb215153423c551b2bf8ad
https://doi.org/10.1109/kse.2019.8919417

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Assessment of georeferencing methods on MODIS Terra/Aqua and VIIRS NPP satellite images in Vietnam

Autor: Dominique Laffly, Pham Van Ha, Astrid Jourdan, Pascal Klein, Bui Quang Hung, Nguyen Thi Nhat Thanh

Publikováno v: KSE

In this study, several georeferencing methods such as Polynomial, Thin Plate Spline (TPS) and geolocation transformations are applied on satellite images over Vietnam areas from Moderate Resolution Imaging Spectroradiometer (MODIS) sensor aboard Terr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::964f4d23612f83caf00be957767cd39c
https://doi.org/10.1109/kse.2018.8573402

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Spatiotemporal analysis of ground and satellite-based aerosol for air quality assessment in the Southeast Asia region

Autor: Thanh T.N. Nguyen, Mai T. Bui, Ha V. Pham, Astrid Jourdan, Hung Q. Bui, Dominique Laffly, Kristofer Lasko

Publikováno v: Environmental pollution (Barking, Essex : 1987). 255(Pt 1)

Satellite observations for regional air quality assessment rely on comprehensive spatial coverage, and daily monitoring with reliable, cloud-free data quality. We investigated spatiotemporal variation and data quality of two global satellite Aerosol

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29018e8a5377094f90daec4097d635cc
https://pubmed.ncbi.nlm.nih.gov/31541826

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A sensitivity analysis method aimed at enhancing the metaheuristics for continuous optimization

Autor: Peio Loubière, Patrick Siarry, Rachid Chelouah, Astrid Jourdan

Publikováno v: Artificial Intelligence Review
Artificial Intelligence Review, Springer Verlag, 2017, ⟨10.1007/s10462-017-9553-7⟩
Artificial Intelligence Review, Springer
Artificial Intelligence Review, Springer, 2017, 〈10.1007/s10462-017-9553-7〉
Artificial Intelligence Review, Springer Verlag, 2018, 50 (4), pp.625-647
Artificial Intelligence Review, 2017, ⟨10.1007/s10462-017-9553-7⟩

An efficient covering of the search space is an important issue when dealing with metaheuristics. Sensitivity analysis methods aim at evaluating the influence of each variable of a problem on a mod...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8761eb98d0c1f371681f401519b330f2
https://hal.archives-ouvertes.fr/hal-01681967

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Cloud data architecture applied to urban management

Autor: Astrid Jourdan, Florent Devin, Yannick Le Nir, Dominique Laffly

Publikováno v: 2016 Eighth International Conference on Knowledge and Systems Engineering (KSE)
2016 Eighth International Conference on Knowledge and Systems Engineering (KSE), Oct 2016, Hanoi, France. pp.327-332
KSE

Open Data now provides access to updated data dedicated to urban development. The traditional approach of using production data for decision on land management needs to be rethought in the light of these new opportunities and should therefore address

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4ecb1b4db9ace2be6376a1d998f5d50
https://hal.archives-ouvertes.fr/hal-02019093

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A sensitivity analysis method for driving the Artificial Bee Colony algorithm's search process

Autor: Astrid Jourdan, Rachid Chelouah, Patrick Siarry, Peio Loubière

Publikováno v: Applied Soft Computing
Applied Soft Computing, Elsevier, 2016, 41, pp.515-531

Graphical abstractDisplay Omitted HighlightsThe Artificial Bee Colony algorithm is improved with a sensitivity analysis method.Morris' OAT method detects high influential dimensions.Morris' OAT method drives the neighborhood search of the ABC algorit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a086496091bb4198207078968f8ae963
https://hal.archives-ouvertes.fr/hal-02018744

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