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Nada Chakhim, Mohamed Louzar, Abdellah Lamnii and Mohammed Alaoui
Diffuse optical tomography (DOT) is an emerging modality that reconstructs the optical properties in a highly scattering medium from measured boundary data. One way to solve DOT and recover the quantities of interest is by an inverse problem approach, wh...
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George A. Papakostas, John W. Nolan and Athanasios C. Mitropoulos
One of the most challenging problems that are still open in the field of materials science is the 3D reconstruction of porous media using information from a single 2D thin image of the original material. Such a reconstruction is only feasible subject to ...
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Luc Bonnet, Jean-Luc Akian, Éric Savin and T. J. Sullivan
Motivated by the desire to numerically calculate rigorous upper and lower bounds on deviation probabilities over large classes of probability distributions, we present an adaptive algorithm for the reconstruction of increasing real-valued functions. Whil...
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Dario Pumo, Francesco Viola and Leonardo Valerio Noto
Many hydrologic applications require reliable estimates of runoff in river basins to face the widespread lack of data, both in time and in space. A regional method for the reconstruction of monthly runoff series is here developed and applied to Sicily (I...
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Livia Della Ragione, Meccariello Giovanni
Pág. 3179 - 3188
Transport activities contribute significantly to the air pollution and its impact on emissions is a key element in the evaluation of any transport policy or plan. Calculation of emissions has therefore gained institutional importance in the European Comm...
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