Results 11 to 20 of about 1,245,641 (265)

Discrete-Time Multi-Scale Systems [PDF]

open access: yesIntegral Equations and Operator Theory, 2010
We introduce multi-scale filtering by the way of certain double convolution systems. We prove stability theorems for these systems and make connections with function theory in the poly-disc. Finally, we compare the framework developed here with the white noise space framework, within which a similar class of double convolution systems has been defined ...
Alpay, Daniel, Mboup, Mamadou
openaire   +10 more sources

Modelling laser beam absorption for powder-based sintering [PDF]

open access: yesEPJ Web of Conferences
Additive manufacturing techniques like selective laser sintering face challenges such as residual stresses and warping. Understanding laser-powder interaction is crucial to addressing these issues.
Nijkamp Albert Hendrik   +3 more
doaj   +1 more source

A Novel Deep Learning Method for Automatic Recognition of Coseismic Landslides

open access: yesRemote Sensing, 2023
Massive earthquakes generally trigger thousands of coseismic landslides. The automatic recognition of these numerous landslides has provided crucial support for post-earthquake emergency rescue, landslide risk mitigation, and city reconstruction.
Qiyuan Yang   +6 more
doaj   +1 more source

Magnetically Guided Laser Surgery for the Treatment of Twin‐to‐Twin Transfusion Syndrome

open access: yesAdvanced Intelligent Systems, 2022
Twin‐to‐twin transfusion syndrome (TTTS) is a severe disorder that often leads to the death of monochorionic twin fetuses, if left untreated. Current prenatal interventions to treat the condition involve the use of rigid fetoscopes for targeted laser ...
Jonas Lussi   +8 more
doaj   +1 more source

3D mechanical characterization of single cells and small organisms using acoustic manipulation and force microscopy

open access: yesNature Communications, 2021
It is currently challenging to mechanically assess 3D specimens without manual handling. Here the authors combine a micro-force sensor and an acoustically controlled manipulation device to enable rotation of samples while assessing mechanical properties ...
Nino F. Läubli   +10 more
doaj   +1 more source

Fast computation of multi-scale combustion systems [PDF]

open access: yes, 2011
In the present work, we illustrate the process of constructing a simplified model for complex multi-scale combustion systems. To this end, reduced models of homogeneous ideal gas mixtures of methane and air are first obtained by the novel Relaxation ...
Asinari, Pietro   +2 more
core   +1 more source

Multi-scale lung modeling

open access: yesJournal of Applied Physiology, 2011
Multi-scale modeling of biological systems has recently become fashionable due to the growing power of digital computers as well as to the growing realization that integrative systems behavior is as important to life as is the genome. While it is true that the behavior of a living organism must ultimately be traceable to all its components and their ...
Merryn H, Tawhai, Jason H T, Bates
openaire   +3 more sources

Multi-scale Discrete Surfaces [PDF]

open access: yes, 2002
In this article, we first propose a method to discretize a surface represented by a polyhedron. Then, we define a data structure used to work on such a discrete surface and that allows us to consider multi-scale discrete surfaces. Then, we explain how to perform easily and quickly boolean set operations on this data structure.
Burguet, Jasmine, Malgouyres, Rémy
openaire   +2 more sources

Steady state rheology from homogeneous and locally averaged simple shear simulations

open access: yesEPJ Web of Conferences, 2017
Granular materials and particulate matter are ubiquitous in our daily life and they display interesting bulk behaviors from static to dynamic, solid to fluid or gas like states, or even all these states together. To understand how the micro structure and
Shi Hao   +2 more
doaj   +1 more source

Multi-Scale Learned Iterative Reconstruction

open access: yesIEEE Transactions on Computational Imaging, 2020
Model-based learned iterative reconstruction methods have recently been shown to outperform classical reconstruction algorithms. Applicability of these methods to large scale inverse problems is however limited by the available memory for training and extensive training times, the latter due to computationally expensive forward models.
Andreas Hauptmann   +3 more
openaire   +5 more sources

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