Daily Archives: July 21, 2022

5 posts

MOX Report on Uncertainty quantification for mineral precipitation and dissolution in fractured porous media

A new MOX report entitled “Uncertainty quantification for mineral precipitation and dissolution in fractured porous media” by Botti, M.; Fumagalli, A.; Scotti, A. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/49/2022.pdf Abstract: In this work, we present an uncertainty quantification analysis […]

MOX Report on A wavelet-mixed landmark survival model for the effect of short-term oscillations in longitudinal biomarker’s profiles

A new MOX report entitled “A wavelet-mixed landmark survival model for the effect of short-term oscillations in longitudinal biomarker’s profiles” by Gregorio, C.; Barbati, G.; Ieva, F. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/48/2022.pdf Abstract: Statistical methods to study the […]

MOX Report on A serendipity fully discrete div-div complex on polygonal meshes

A new MOX report entitled “A serendipity fully discrete div-div complex on polygonal meshes” by Botti, M.; Di Pietro, D.A.; Salah, M. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/47/2022.pdf Abstract: In this work we address the reduction of face degrees […]

MOX Report on Impact of pressure guidewire on model-based FFR prediction

A new MOX report entitled “Impact of pressure guidewire on model-based FFR prediction” by Lucca, A.; Fraccarollo, L.; Fossan, F.E.; Braten, A.T.; Pozzi, S.; Vergara, C.; Muller, L.O. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/46/2022.pdf Abstract: Fractional Flow Reserve (FFR) […]

MOX Report on Approximation bounds for convolutional neural networks in operator learning

A new MOX report entitled “Approximation bounds for convolutional neural networks in operator learning” by Franco, N.; Fresca, S.; Manzoni, A.; Zunino, P. has appeared in the MOX Report Collection. The report can be donwloaded at the following link: https://www.mate.polimi.it/biblioteca/add/qmox/45/2022.pdf Abstract: Recently, deep Convolutional Neural Networks (CNNs) have proven to […]