Publications associées à Wasserstein-Based Graph Alignment

Publications associées (23)

Efficient Lung Nodule Detection via 3D Deep Learning with Shifted Convolutions

The high computational costs of deep convolutional neural networks hinder their deployment in real-world applications, including pulmonary nodule detection from CT scans where large 3D image sizes amplify the issue. This paper presents a novel 3D method to ...

IEEE2023

User assessment of fabric shading devices with a low openness factor

Marilyne Andersen, Jan Wienold, Caroline Karmann, Krishna Manwani

Providing adequate glare protection and a view to the outside through fabric shading devices is challenging because these two objectives require conflicting material properties for a fully lowered shading. In a semi -controlled office-like experiment invol ...

2023

Toward higher-performance bionic limbs for wider clinical use

Silvestro Micera

Most prosthetic limbs can autonomously move with dexterity, yet they are not perceived by the user as belonging to their own body. Robotic limbs can convey information about the environment with higher precision than biological limbs, but their actual perf ...

NATURE RESEARCH2023

Solving Non-linear Kolmogorov Equations in Large Dimensions by Using Deep Learning: A Numerical Comparison of Discretization Schemes

Nicolas Macris

Non-linear partial differential Kolmogorov equations are successfully used to describe a wide range of time dependent phenomena, in natural sciences, engineering or even finance. For example, in physical systems, the Allen-Cahn equation describes pattern f ...

SPRINGER/PLENUM PUBLISHERS2023

Mechanistic modelling of solar disinfection (SODIS) kinetics of Escherichia coli, enhanced with H2O2 - part 1: The dark side of peroxide

César Pulgarin, Stefanos Giannakis

The present bi-partite work describes the development and validation of a mechanistic kinetic model of SODIS E. coli inactivation, enhanced with H2O2. In this first part, the mechanism of the baseline dark phenomena is modelled. A mechanistic model involvi ...

ELSEVIER SCIENCE SA2022

Spike-Based Sensing and Communication for Highly Energy-Efficient Sensor Edge Nodes

Mihai Adrian Ionescu, Teodor Rosca

Highly energy-efficient wireless sensor nodes are a prerequisite for a sustainable operation of the Internet of things. Therefore, classical approaches for system design based on digital signal processing are not a viable solution, but system design has to ...

IEEE2022

Topology Optimization of an Electromagnet Manipulator for 3D Uniform Magnetic Field

Yves Perriard, Adrien Jean-Michel Thabuis, Xiaotao Ren

Magnetic manipulation is a method used for biomedical applications to remotely control micro-robots in a contactless manner. The electromagnet manipulator should control a magnetic field with 3 degrees of freedom inside a region of interest. In various cas ...

IEEE2022

Relative, local and global dimension in complex networks

Alexis Arnaudon

Dimension is a fundamental property of objects and the space in which they are embedded. Yet ideal notions of dimension, as in Euclidean spaces, do not always translate to physical spaces, which can be constrained by boundaries and distorted by inhomogenei ...

Nature Portfolio2022

Clustering and Informative Path Planning for 3D Gas Distribution Mapping: Algorithms and Performance Evaluation

Alcherio Martinoli, Chiara Ercolani, Lixuan Tang

Chemical gas dispersion can represent a severe threat to human and animal lives, as well as to the environment. Constructing a map of the distribution of gas in a fast and reliable manner is critical to ensure accurate monitoring of at-risk facilities and ...

2022

Linearization and Identification of Multiple-Attractor Dynamical Systems through Laplacian Eigenmaps

Aude Billard, Bernardo Fichera

Dynamical Systems (DS) are fundamental to the modeling and understanding time evolving phenomena, and have application in physics, biology and control. As determining an analytical description of the dynamics is often difficult, data-driven approaches are ...

Microtome Publishing2022

Structural response of fire-exposed laminated glass beams under sustained loads; exploratory experiments and FE-Simulations

Alain Nussbaumer, Pieter Christian Louter

This paper investigates the structural response of laminated glass beams under combined fire-exposure and sustained in-plane loading. This is done by means of experimental testing and Finite Element (FE) numerical modelling. Firstly, small-scale (1 m long) ...

2021

Towards strong-coupling regime in singular site-controlled InGaAs quantum dots-nanocavities

Elyahou Kapon, Alok Rudra, Benjamin Dwir, Alessio Massimiliano Davide Miranda

We demonstrate the cavity quantum electrodynamics towards strong- coupling regime mediated by cavity loss and exciton pure dephasing in singular site-controlled quantum dotnanocavity system, studied by micro-photoluminescence (mu-PL) and time- resolved PL ...

IEEE2021

The effect of microstructure on vacuum surface flashover

Guang-Yu Sun

The vacuum discharge along the dielectric surface, also called surface flashover, brings significant damages to the vacuum-solid insulation system. Here we implement shape-flexible, complex surface groove microstructures on the dielectric to mitigate the i ...

IEEE2021

Invariability of EEG error-related potentials during continuous feedback protocols elicited by erroneous actions at predicted or unpredicted states

José del Rocio Millán Ruiz, Ricardo Andres Chavarriaga Lozano, Inaki Asier Iturrate Gil, Fumiaki Iwane

Objective. When humans perceive an erroneous action, an EEG error-related potential (ErrP) is elicited as a neural response. ErrPs have been largely investigated in discrete feedback protocols, where actions are executed at discrete steps, to enable seamle ...

2021

Discrete-Choice Mining of Social Processes

Victor Kristof

Poor decisions and selfish behaviors give rise to seemingly intractable global problems, such as the lack of transparency in democratic processes, the spread of conspiracy theories, and the rise in greenhouse gas emissions. However, people are more predict ...

EPFL2021

Energy, indoor air quality, occupant behavior, self-reported symptoms and satisfaction in energy-efficient dwellings in Switzerland

Dusan Licina, Shen Yang

We performed the first large-scale investigation of indoor air quality (IAQ), energy and occupant behavior and satisfaction, in 650 energy-efficient dwellings in western Switzerland. The investigation included comparative assessment of 217 green-certified ...

2020

Height And Weight Estimation From Unconstrained Images

Radhakrishna Achanta, Ntorina Thanou

We address the difficult problem of estimating the attributes of weight and height of individuals from pictures taken in completely unconstrained settings. We present a deep learning scheme that relies on simultaneous prediction of human silhouettes and sk ...

IEEE2020

Accelerated and adaptive modifier-adaptation schemes for the real-time optimization of uncertain systems

Dominique Bonvin, Predrag Milosavljevic, René Uwe Schneider

The steady-state performance of a parametrically or structurally uncertain system can be optimized using iterative real-time optimization methods such as modifier adaptation. Here, we extend a recently proposed second-order modifier-adaptation scheme in tw ...

ELSEVIER SCI LTD2019

Three-Dimensional Model and Evaluation of an Insulin Injection Pen for Precise Dose Capacitive Measurement

Catherine Dehollain, Maria-Alexandra Paun, Jean-Baptiste Robert Orhan

A fully parameterized three-dimensional model with specific dimensions has been developed in ANSYS for an insulin injection pen used by diabetic persons. The insulin injection pen has a smart pen cap which hosts four electrodes used for the smart pen cap e ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2019

Corncob Biorefinery for Platform Chemicals and Lignin Coproduction: Metal Chlorides as Catalysts

Wu Lan

A facile approach to a corncob biorefinery, focusing on both carbohydrate valorization and lignin stabilization, was proposed to coproduce platform chemicals (glucose, xylose, arabinose, and furfural) and lignin. Different metal chloride prehydrolyses of c ...

AMER CHEMICAL SOC2019