.. Exemple-analytique:-la-fonction-de-sobol, 108 5.1.7 Exemple d'application : exposition d'un modèle d'enfant à une station de base de femtocell, p.111

R. Abramovitz, M. Stegun, and I. A. , Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables, 1972.

A. Arnaud, J. Bect, M. Couplet, A. Pasanisi, and E. Vazquez, Evaluation d'un risque d'inondation fluviale par planification séquentielle d'expériences, 42ème Journées de Statistique, pp.1-6, 2010.

R. Arya, P. Kersaudy, J. Wiart, and R. Mittra, Statistical Analysis of Periodic Structures and Frequency Selective Surfaces using the Polynomial Chaos Expansions, p.12, 2015.

F. Bachoc, Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification, Computational Statistics & Data Analysis, vol.66, pp.55-69, 2013.
DOI : 10.1016/j.csda.2013.03.016

C. A. Balanis, Antenna Theory : Analysis and Design, 1988.

B. Beard, W. Kainz, T. Onishi, T. Iyama, S. Watanabe et al., Comparisons of Computed Mobile Phone Induced SAR in the SAM Phantom to That in Anatomically Correct Models of the Human Head, IEEE Transactions on Electromagnetic Compatibility, pp.397-407, 2006.
DOI : 10.1109/TEMC.2006.873870

J. Bect, D. Ginsbourger, L. Li, V. Picheny, and E. Vazquez, Sequential design of computer experiments for the estimation of a probability of failure, Statistics and Computing, vol.34, issue.4, pp.773-793, 2012.
DOI : 10.1007/s11222-011-9241-4
URL : https://hal.archives-ouvertes.fr/hal-00689580

J. Berenger, A perfectly matched layer for the absorption of electromagnetic waves, Journal of Computational Physics, vol.114, issue.2, pp.185-200, 1994.
DOI : 10.1006/jcph.1994.1159

M. Berveiller, B. Sudret, and M. Lemaitre, Stochastic finite element: a non intrusive approach by regression, Revue europ??enne de m??canique num??rique, vol.15, issue.1-2-3, pp.1-381, 2006.
DOI : 10.3166/remn.15.81-92

L. Bibin, J. Anquez, J. De-la-plata-alcalde, T. Boubekeur, E. Angelini et al., Whole-body pregnant woman modeling by digital geometry processing with detailed uterofetal unit based on medical images, IEEE Transactions on Biomedical Engineering, vol.57, issue.10, pp.572346-2358, 2010.
DOI : 10.1109/TBME.2010.2053367

B. Bichon, J. Mcfarland, and S. Mahadevan, Efficient surrogate models for reliability analysis of systems with multiple failure modes, Reliability Engineering & System Safety, vol.96, issue.10, pp.961386-1395, 2011.
DOI : 10.1016/j.ress.2011.05.008

G. Blatman and B. Sudret, Sparse polynomial chaos expansions and adaptive stochastic finite elements using a regression approach, Comptes Rendus M??canique, vol.336, issue.6, pp.518-523, 2008.
DOI : 10.1016/j.crme.2008.02.013

G. Blatman and B. Sudret, An adaptive algorithm to build up sparse polynomial chaos expansions for stochastic finite element analysis, Probabilistic Engineering Mechanics, vol.25, issue.2, pp.183-197, 2010.
DOI : 10.1016/j.probengmech.2009.10.003

G. Blatman and B. Sudret, Adaptive sparse polynomial chaos expansion based on least angle regression, Journal of Computational Physics, vol.230, issue.6, pp.2345-2367, 2011.
DOI : 10.1016/j.jcp.2010.12.021

E. Borgonovo, W. Castaings, and S. Tarantola, Moment Independent Importance Measures: New Results and Analytical Test Cases, Risk Analysis, vol.33, issue.3, pp.404-428, 2007.
DOI : 10.1111/j.1539-6924.2010.01519.x
URL : https://hal.archives-ouvertes.fr/halsde-00683555

L. Breiman, Bagging predictors, Machine Learning, pp.123-140, 1996.
DOI : 10.1007/BF00058655

Y. Caniou, Analyse de sensibilité globale pour les modèles de simulation imbriqués et multi-échelles, 2012.

C. Cannamela, J. Garnier, and B. Iooss, Controlled stratification for quantile estimation, The Annals of Applied Statistics, vol.2, issue.4, pp.1554-1580, 2008.
DOI : 10.1214/08-AOAS186
URL : https://hal.archives-ouvertes.fr/hal-00355016

G. Chastaing, F. Gamboa, and C. Prieur, Generalized Hoeffding-Sobol decomposition for dependent variables - application to sensitivity analysis, Electronic Journal of Statistics, vol.6, issue.0, 2010.
DOI : 10.1214/12-EJS749
URL : https://hal.archives-ouvertes.fr/hal-00649404

A. Christ, W. Kainz, E. Hahn, K. Honegger, M. Zefferer et al., The Virtual Family???development of surface-based anatomical models of two adults and two children for dosimetric simulations, Physics in Medicine and Biology, vol.55, issue.2, pp.33-38, 2010.
DOI : 10.1088/0031-9155/55/2/N01

A. Christ and N. Kuster, Differences in RF energy absorption in the heads of adults and children, Bioelectromagnetics, vol.44, issue.S7, 2005.
DOI : 10.1002/bem.20136

E. Conil, A. Hadjem, A. Gati, M. Wong, and J. Wiart, Influence of Plane-Wave Incidence Angle on Whole Body and Local Exposure at 2100 MHz, IEEE Transactions on Electromagnetic Compatibility, vol.53, issue.1, pp.48-52, 2011.
DOI : 10.1109/TEMC.2010.2061849

E. Conil, A. Hadjem, F. Lacroux, M. F. Wong, and J. Wiart, Variability analysis of SAR from 20 MHz to 2.4 GHz for different adult and child models using finite-difference time-domain, Physics in Medicine and Biology, vol.53, issue.6, pp.1511-1525, 2008.
DOI : 10.1088/0031-9155/53/6/001

S. Dahdouh, N. Varsier, A. Serrurier, J. De-le-plata-alcade, J. Anquez et al., A comprehensive tool for image-based generation of fetus and pregnant women mesh models for numerical dosimetry studies, Physics in Medicine and Biology, vol.59, issue.16, pp.4583-4602, 2014.
DOI : 10.1088/0031-9155/59/16/4583

P. Dimbylow, Development of the female voxel phantom, NAOMI, and its application to calculations of induced current densities and electric fields from applied low frequency magnetic and electric fields, Physics in Medicine and Biology, vol.50, issue.6, pp.501047-1070, 2005.
DOI : 10.1088/0031-9155/50/6/002

V. Dubourg, B. Sudret, and J. Bourinet, Reliability-based design optimization using kriging surrogates and subset simulation, Structural and Multidisciplinary Optimization, vol.42, issue.1, pp.673-690, 2011.
DOI : 10.1007/s00158-011-0653-8
URL : https://hal.archives-ouvertes.fr/hal-00587311

O. Dubrule, Cross validation of kriging in a unique neighborhood, Journal of the International Association for Mathematical Geology, vol.15, issue.6, pp.687-699, 1983.
DOI : 10.1007/BF01033232

B. Echard, N. Gayton, and M. Lemaire, AK-MCS: An active learning reliability method combining Kriging and Monte Carlo Simulation, Structural Safety, vol.33, issue.2, pp.145-154, 2011.
DOI : 10.1016/j.strusafe.2011.01.002

B. Efron, Bootstrap Methods: Another Look at the Jackknife, The Annals of Statistics, vol.7, issue.1, pp.1-26, 1979.
DOI : 10.1214/aos/1176344552

B. Efron and G. Gong, A Leisurely Look at the Bootstrap , the Jackknife , and Cross-Validation. The American Statistician, pp.36-48, 1983.

B. Efron, T. Hastie, I. Johnstone, and R. Tibshirani, LEAST ANGLE REGRES- SION. The Annals of Statistics, pp.407-499, 2004.

B. Efron and R. J. Tibshirani, An introduction to the Bootstrap, 1981.
DOI : 10.1007/978-1-4899-4541-9

E. Habachi and A. , Propagation de la variabilité de la morphologie humaine sur le Débit d'Absorption Spécifique en dosimétrie numérique, 2011.

E. Habachi, A. Conil, E. Hadjem, A. Vasquez, E. Wong et al., Statistical analysis of whole-body absorption depending on anatomical human characteristics at a frequency of 2.1 GHz, Physics in Medicine and Biology, vol.55, issue.7, pp.551875-1887, 2010.
DOI : 10.1088/0031-9155/55/7/006

D. A. Freedman, Bootstrapping Regression Models, The Annals of Statistics, vol.9, issue.6, pp.1218-1228, 1981.
DOI : 10.1214/aos/1176345638

S. Gazut, Conception et mise en oeuvre de nouvelles méthodes d'élaboration de plans d'expériences pour l'apprentissage de modèles non linéaires, 2007.

S. Gazut, J. Martinez, G. Dreyfus, and Y. Oussar, Towards the Optimal Design of Numerical Experiments, IEEE Transactions on Neural Networks, vol.19, issue.5, pp.874-882, 2008.
DOI : 10.1109/TNN.2007.915111

R. G. Ghanem and P. D. Spanos, Stochastic Finite Elements : A Spectral Approach, 2003.
DOI : 10.1007/978-1-4612-3094-6

A. Ghanmi, Analyse de l'exposition aux ondes électromagnétiques des enfants dans le cadre des nouveaux usages et des nouveaux réseaux, 2012.

L. Gilli, D. Lathouwers, J. Kloosterman, T. J. Van-der-hagen, . Koning et al., Uncertainty quantification for criticality problems using non-intrusive and adaptive Polynomial Chaos techniques, Annals of Nuclear Energy, vol.56, pp.71-80, 2013.
DOI : 10.1016/j.anucene.2013.01.009

D. Ginsbourger, Multiples métamodèles pour l'approximation et l'optimisation de fonctions numériques multivariables, 2009.

P. W. Glynn, Importance Sampling for Monte Carlo Estimation of Quantiles, Proceedings of the Second International Workshop on Mathematical Methods in Stochastic Simulation and Experimental Design, pp.180-185, 1996.

J. E. Hansen, Spherical Near-Field antenna measurements, 1988.
DOI : 10.1049/PBEW026E

T. C. Hesterberg and B. L. Nelson, Control Variates for Probability and Quantile Estimation, Management Science, vol.44, issue.9, pp.1295-1312, 1998.
DOI : 10.1287/mnsc.44.9.1295

A. Hirata, N. Ito, and O. Fujiwara, Influence of electromagnetic polarization on the whole-body averaged SAR in children for plane-wave exposures, Physics in Medicine and Biology, vol.54, issue.4, pp.59-65, 2009.
DOI : 10.1088/0031-9155/54/4/N02

A. Hirata, S. W. Kodera, and O. Fujiwara, Dominant factors influencing whole-body average SAR due to far-field exposure in whole-body resonance frequency and GHz regions, Bioelectromagnetics, vol.51, issue.6, pp.484-487, 2007.
DOI : 10.1002/bem.20335

R. Holland and J. Williams, Total-Field versus Scattered-Field Finite-Difference Codes: A Comparative Assessment, IEEE Transactions on Nuclear Science, vol.30, issue.6, pp.4583-4588, 1983.
DOI : 10.1109/TNS.1983.4333175

M. Iskander and Z. Yun, Propagation prediction models for wireless communication systems, IEEE Transactions on Microwave Theory and Techniques, vol.50, issue.3, pp.662-673, 2002.
DOI : 10.1109/22.989951

S. Isukapalli, Uncertainty Analysis of Transport-Transformation Models, 1999.

M. Jala, Plans d'expériences adaptatifs pour le calcul de quantiles et application Ã la dosimétrie, 2013.

M. Jala, C. Lévy-leduc, E. Moulines, E. Conil, and J. Wiart, Sequential Design of Computer Experiments for the Assessment of Fetus Exposure to Electromagnetic Fields, Technometrics, vol.4, issue.1, 2014.
DOI : 10.1088/0031-9155/53/13/019
URL : https://hal.archives-ouvertes.fr/hal-01418859

O. Jawad, Etude de l'exposition des personnes aux ondes électromagnétiques en environnement complexe, 2014.

F. Jensen, A. Frandsen, C. , and D. , On the number of modes in spherical wave expansions, Proc. 26th AMTA, pp.489-494, 2004.

M. Johnson, L. Moore, Y. , and D. , Minimax and maximin distance designs, Journal of Statistical Planning and Inference, vol.26, issue.2, pp.131-148, 1990.
DOI : 10.1016/0378-3758(90)90122-B

D. Jones, M. Schonlau, W. , and W. , Efficient Global Optimization of expensive black-box functions, Journal of Global Optimization, vol.13, issue.4, pp.455-492, 1998.
DOI : 10.1023/A:1008306431147

V. Joseph, A. Sudjianto, H. , and Y. , Blind Kriging: A New Method for Developing Metamodels, Journal of Mechanical Design, vol.130, issue.3, pp.31102-31103, 2008.
DOI : 10.1115/1.2829873

K. Karhunen, Uber lineare Methoden in der Wahrscheinlichkeitsrechnung, Annales Academiae scientiarum Fennicae : Mathematica-Physica, vol.37, pp.1-79, 1947.

P. Kersaudy, S. Mostarshedi, B. Sudret, O. Picon, and J. Wiart, Stochastic Analysis of Scattered Field by Building Facades Using Polynomial Chaos, IEEE Transactions on Antennas and Propagation, vol.62, issue.12, pp.626382-6393, 2014.
DOI : 10.1109/TAP.2014.2359478
URL : https://hal.archives-ouvertes.fr/hal-01432519

P. Kersaudy, B. Sudret, N. Varsier, O. Picon, and J. Wiart, A new surrogate modeling technique combining Kriging and polynomial chaos expansions ??? Application to uncertainty analysis in computational dosimetry, Journal of Computational Physics, vol.286, pp.103-117, 2015.
DOI : 10.1016/j.jcp.2015.01.034
URL : https://hal.archives-ouvertes.fr/hal-01143146

S. Kucherenko, S. Tanrantola, and P. Annoni, Estimation of global sensitivity indices for models with dependent variables, Computer Physics Communications, vol.183, issue.4, pp.937-946, 2012.
DOI : 10.1016/j.cpc.2011.12.020

R. Lebrun and A. Dutfoy, A generalization of the Nataf transformation to distributions with elliptical copula, Probabilistic Engineering Mechanics, vol.24, issue.2, pp.172-178, 2009.
DOI : 10.1016/j.probengmech.2008.05.001

G. Li and H. Rabitz, Global Sensitivity Analysis for Systems with Independent and/or Correlated Inputs, The Journal of Physical Chemistry A, vol.114, issue.19, pp.6022-6032, 2010.
DOI : 10.1021/jp9096919

D. Lucor and G. Karniadakis, Physical Systems with Random Uncertainties : Chaos Representations with Arbitrary Probability Measure, SIAM Journal on Scientific Computing, vol.26, issue.2, pp.750-735, 2004.

G. Matheron, Les cahiers du Centre de morphologie mathématique de Fontainebleau, Fascicule, vol.1, 1969.

H. Matthies and A. Keese, Galerkin methods for linear and nonlinear elliptic stochastic partial differential equations, Computer Methods in Applied Mechanics and Engineering, vol.194, issue.12-16, pp.1295-1331, 2005.
DOI : 10.1016/j.cma.2004.05.027

M. Mckay, W. Conover, and R. Beckman, A comparisaon of three methods for selecting values of input variables in the analysis of an output form a computer code, Technometrics, vol.21, pp.239-245, 1979.

D. Merewether, R. Fisher, and F. Smith, On Implementing a Numeric Huygen's Source Scheme in a Finite Difference Program to Illuminate Scattering Bodies, IEEE Transactions on Nuclear Science, vol.27, issue.6, pp.1829-1833, 1980.
DOI : 10.1109/TNS.1980.4331114

A. M. Molinaro, R. Simon, and R. M. Pfeiffer, Prediction error estimation: a comparison of resampling methods, Bioinformatics, vol.21, issue.15, pp.3301-3307, 2005.
DOI : 10.1093/bioinformatics/bti499

M. Morris, T. Mitchell, Y. , and D. , Bayesian Design and Analysis of Computer Experiments: Use of Derivatives in Surface Prediction, Technometrics, vol.15, issue.3, pp.243-255, 1993.
DOI : 10.1080/00401706.1992.10485229

S. Mostarshedi, E. Richalot, J. Laheurte, M. Wong, J. Wiart et al., Fast and accurate calculation of scattered electromagnetic fields from building faces using Green's functions of semi-infinite medium, IET Microwaves, Antennas & Propagation, pp.72-82, 2010.
DOI : 10.1049/iet-map.2008.0194

T. Nagaoka, T. Togashi, K. Saito, K. Ito, and S. Watanabe, An anatomically realistic whole-body pregnant-woman model and specific absoption rates for pregnantwoman exposure to electromagnetic plane waves from 10 MHz to 2 GHz, Phys. Med. Biol, issue.22, pp.526731-6745, 2007.

A. Nataf, Détermination des distributions dont les marges sont données, Comptes Rendus de l'Académie des Sciences de Paris, pp.42-43, 1962.

R. Nelsen, An introduction to Copulas, 1999.
DOI : 10.1007/978-1-4757-3076-0

B. L. Nelson, On control variate estimators, Computers & Operations Research, vol.14, issue.3, pp.219-225, 1987.
DOI : 10.1016/0305-0548(87)90024-4

A. Notin, Evaluation à moindre coût de la fiabilité des structures sollicitées en fatigue, 2010.

J. Oakley, Estimating percentiles of uncertain computer code outputs, Journal of the Royal Statistical Society: Series C (Applied Statistics), vol.14, issue.1, pp.83-93, 2004.
DOI : 10.1111/1467-9884.00300

A. Owen, Controlling Correlations in Latin Hypercube Samples, Journal of the American Statistical Association, vol.16, issue.428, pp.1517-1522, 1994.
DOI : 10.1214/aos/1176350142

J. S. Park, Optimal Latin-hypercube designs for computer experiments, Journal of Statistical Planning and Inference, vol.39, issue.1, pp.95-111, 1994.
DOI : 10.1016/0378-3758(94)90115-5

A. Peyman, C. Gabriel, H. Benedickter, and J. Fröhlich, Dielectric properties of human placent, umbilical cord and amniotic fluid, Physics in Medicine and Biology, vol.56, pp.564-612, 2011.

V. Picheny, D. Ginsbourger, O. Roustant, R. T. Haftka, K. et al., Adaptive Designs of Experiments for Accurate Approximation of a Target Region, Journal of Mechanical Design, vol.132, issue.7, 2010.
DOI : 10.1115/1.4001873
URL : https://hal.archives-ouvertes.fr/emse-00699752

C. E. Rasmussen and C. K. Williams, Gaussian Processes in Machine Learning, 2006.
DOI : 10.1162/089976602317250933

O. Roustant, D. Ginsbourger, and Y. Deville, DiceKriging : Kriging methods for computer experiments, 2010.

J. Sacks, S. B. Schiller, W. , and W. J. , Designs for Computer Experiments, Technometrics, vol.15, issue.18, pp.3141-3188, 1989.
DOI : 10.1080/00401706.1989.10488474

J. Sacks, W. J. Welch, T. J. Mitchell, W. , and H. P. , Design and Analysis of Computer Experiments, Statistical Science, vol.4, issue.4, pp.409-423, 1989.
DOI : 10.1214/ss/1177012413

A. Saltelli, K. Chan, and E. M. Scott, Sensitivity analysis, 2000.
URL : https://hal.archives-ouvertes.fr/inria-00386559

T. Santner, B. Williams, and W. Notz, The design and analysis of computer experiments, 2003.
DOI : 10.1007/978-1-4757-3799-8

G. Schwarz, Estimating the Dimension of a Model, The Annals of Statistics, vol.6, issue.2, pp.461-464, 1978.
DOI : 10.1214/aos/1176344136

J. Shao, Bootstrap Model Selection, Journal of the American Statistical Association, vol.15, issue.434, pp.655-665, 1996.
DOI : 10.1080/03610929308831184

J. Silly-carette, Modélisation avancée de l'absorption des ondes électromagnétiques dans les tissus biologiques, 2008.

A. Sklar, Fonctions de répartition à n dimansions et leurs marges, pp.229-231, 1959.

A. Sklar, Random variables, joint distribution functions and copulas, Kibernetika, vol.9, issue.6, pp.449-460, 1973.

I. M. Sobol-', Global sensitivity indices for nonlinear mathematical models and their Monte Carlo estimates, Mathematics and Computers in Simulation, vol.55, issue.1-3, pp.271-280, 2001.
DOI : 10.1016/S0378-4754(00)00270-6

C. Soize and R. Ghanem, Physical Systems with Random Uncertainties: Chaos Representations with Arbitrary Probability Measure, SIAM Journal on Scientific Computing, vol.26, issue.2, pp.395-410, 2004.
DOI : 10.1137/S1064827503424505
URL : https://hal.archives-ouvertes.fr/hal-00686211

N. Srinivas, A. Krause, S. Kakade, and M. Seeger, Information-theoric regret bounds for gaussian process optimization in the bandit setting, IEEE Transactions on Information Theory, vol.56, issue.5, pp.3250-3265, 2012.

B. Sudret, Global sensitivity analysis using polynomial chaos expansions, Reliability Engineering & System Safety, vol.93, issue.7, pp.964-979, 2008.
DOI : 10.1016/j.ress.2007.04.002
URL : https://hal.archives-ouvertes.fr/hal-01432217

A. Taflove and S. C. Hagness, Computational Electrodynamics. The Finite- Difference Time Domain Method, 2005.

B. Tang, Selecting latin hypercubes unsing correlation criteria, Statistica Sinica, vol.8, pp.965-977, 1998.
DOI : 10.1080/03610929408831370

E. Vazquez, Modélisation comportementale de systèmes non-linéaires multivariables par méthodes à noyaux et applications, 2005.

E. Vazquez and J. Bect, Convergence properties of the expected improvement algorithm with fixed mean and covariance functions, Journal of Statistical Planning and Inference, vol.140, issue.11, pp.3088-3095, 2010.
DOI : 10.1016/j.jspi.2010.04.018
URL : https://hal.archives-ouvertes.fr/hal-00217562

G. Wang, Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points, Journal of Mechanical Design, vol.125, issue.2, pp.210-220, 2003.
DOI : 10.1115/1.1561044

N. Wiener, The Homogeneous Chaos, American Journal of Mathematics, vol.60, issue.4, pp.897-936, 1938.
DOI : 10.2307/2371268

S. Xiong, P. Qian, and C. Wu, Sequential Design and Analysis of High-Accuracy and Low-Accuracy Computer Codes, Technometrics, vol.34, issue.1, pp.37-46, 2013.
DOI : 10.1080/00401706.2012.723572

D. Xiu and G. E. Karniadakis, The Wiener--Askey Polynomial Chaos for Stochastic Differential Equations, SIAM Journal on Scientific Computing, vol.24, issue.2, pp.619-644, 2002.
DOI : 10.1137/S1064827501387826

X. Xu and K. Eckerman, Handbook of Anatomical Models for Radiation Dosimetry, 2010.
DOI : 10.1201/EBK1420059793

K. Yee, Numerical solution of initial boundary value problems involving Maxwell's equations in isotropic media, IEEE Transactions on Antennas Propagation, vol.14, issue.3, pp.302-307, 1966.

M. Kersaudy, S. , P. Sudret, B. Picon, O. Wiart et al., Stochastic Analysis of Scattered Field by Building Facades Using Polynomial Chaos, IEEE Transactions on Antennas and Propagation, vol.62, issue.12, pp.62-6382, 2014.
DOI : 10.1109/TAP.2014.2359478
URL : https://hal.archives-ouvertes.fr/hal-01432519

R. K. Arya, P. Kersaudy, J. Wiart, and R. Mittra, Statistical Analysis of Periodic Structures and Frequency Selective Surfaces using Polynomial Chaos Expansions, p.12, 2015.

P. Kersaudy, A. Gati, A. Hadjem, N. Varsier, E. Conil et al., Equivalence principle use to assess the exposure induced by a Femto antenna at 2100MHz, The 8th European Conference on Antennas and Propagation (EuCAP 2014), pp.2462-2463, 2014.
DOI : 10.1109/EuCAP.2014.6902316

P. Kersaudy, S. Sudret, B. Picon, O. Wiart, and J. , Use of Polynomials of Chaos as Regression Functions for Universal Kriging Models and Application to Numerical Dosimetry, SIAM Annual Meeting, 2014.

P. Kersaudy, S. Mostarshedi, B. Sudret, O. Picon, and W. , Statistical analysis of scattered field by building facades, 2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC), 2015.
DOI : 10.1109/URSI-AT-RASC.2015.7303225

P. Kersaudy, A. Hadjem, N. Varsier, S. Mostarshedi, O. Picon et al., Statistical analysis of the influence of the morphology onto the whole-body exposure to radio-frequency waves, 2015 1st URSI Atlantic Radio Science Conference (URSI AT-RASC), 2015.
DOI : 10.1109/URSI-AT-RASC.2015.7303226

P. Kersaudy, A. Hadjem, S. Mostarshedi, O. Picon, and J. Wiart, Modélisation de l'exposition induite par une source de type station de base de femtocell, 2015.