Modeling the Spatial Distributions of Macro Base Stations with Homogeneous Density: Theory and Application to Real Networks

Autor: Gontier, Q., Tsigros, C., Horlin, F., Wiart, J., Oestges, C., De Doncker, P.

Publikováno v: "Modeling the spatial distributions of macro base stations with homogeneous density: Theory and application to real networks," in Proc. of the European Cooperation in Science and Technology (EURO-COST CA20120 TD (22) 0174), Feb. 2022

Stochastic geometry is a highly studied field in telecommunications as in many other scientific fields. In the last ten years in particular, theoretical knowledge has evolved a lot, whether for the calculation of metrics to characterize interference,

Externí odkaz: http://arxiv.org/abs/2409.05468

On the distribution of scrambled $(0,m,s)$-nets over unanchored boxes

Autor: Lemieux, C., Wiart, J.

We introduce a new quality measure to assess randomized low-discrepancy point sets of finite size $n$. This new quality measure, which we call "pairwise sampling dependence index", is based on the concept of negative dependence. A negative value for

Externí odkaz: http://arxiv.org/abs/2012.10363

Wireless phone use in childhood and adolescence and neuroepithelial brain tumours: Results from the international MOBI-Kids study

Autor: Castaño-Vinyals, G., Sadetzki, S., Vermeulen, R., Momoli, F., Kundi, M., Merletti, F., Maslanyj, M., Calderon, C., Wiart, J., Lee, A.-K., Taki, M., Sim, M., Armstrong, B., Benke, G., Schattner, R., Hutter, H.-P., Krewski, D., Mohipp, C., Ritvo, P., Spinelli, J., Lacour, B., Remen, T., Radon, K., Weinmann, T., Petridou, E.Th., Moschovi, M., Pourtsidis, A., Oikonomou, K., Kanavidis, P., Bouka, E., Dikshit, R., Nagrani, R., Chetrit, A., Bruchim, R., Maule, M., Migliore, E., Filippini, G., Miligi, L., Mattioli, S., Kojimahara, N., Yamaguchi, N., Ha, M., Choi, K., Kromhout, H., Goedhart, G., 't Mannetje, A., Eng, A., Langer, C.E., Alguacil, J., Aragonés, N., Morales-Suárez-Varela, M., Badia, F., Albert, A., Carretero, G., Cardis, E.

Publikováno v: In Environment International February 2022 160

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A Gaussian-process-model-based approach for robust, independent, and implementation-agnostic validation of complex multi-variable measurement systems: application to SAR measurement systems

Autor: Bujard, C., Neufeld, E., Douglas, M., Wiart, J., Kuster, N.

Resource-efficient and robust validation of complex measurement systems that would require millions of test permutations for comprehensive coverage is an unsolved problem. In the paper, a general, robust, trustworthy, efficient, and comprehensive val

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eef87c267904377492f98dc888f5d890
http://arxiv.org/abs/2211.12907