Publications associées à Temps (physique)

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

We propose a physics-informed message-passing graph neural network (GNN) for learning the dynamics of springmass systems. The proposed method embeds the underlying physics directly into the message-passing scheme of the GNN. We compare the new scheme with ...

Research Publishing2023

Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

Nikolaos Geroliminis, Dimitrios Tsitsokas, Anastasios Kouvelas, Isik Ilber Sirmatel

City-scale control of urban road traffic poses a challenging problem. Dynamical models based on the macroscopic fundamental diagram (MFD) enable development of model predictive perimeter control methods for large-scale urban networks, representing an advan ...

2021

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Nikolaos Geroliminis, Semin Kwak

Accurate prediction of travel time is an essential feature to support Intelligent Transportation Systems (ITS). The non-linearity of traffic states, however, makes this prediction a challenging task. Here we propose to use dynamic linear models (DLMs) to a ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy

Anisoara Ionescu, Lena Carcreff, Stéphane Armand

The current lack of adapted performance metrics leads clinicians to focus on what children with cerebral palsy (CP) do in a clinical setting, despite the ongoing debate on whether capacity (what they do at best) adequately reflects performance (what they d ...

MDPI2020

COSMOGRAIL XVIII. time delays of the quadruply lensed quasar WFI2033-4723

Frédéric Courbin, Georges Meylan, Sun Hee Kim, Hung-Hsu Chan, Malte Tewes, Vivien François Bonvin, Martin Raoul Robert Millon, Karina Alexandra Rojas Olate

We present new measurements of the time delays of WFI2033-4723. The data sets used in this work include 14 years of data taken at the 1.2 m Leonhard Euler Swiss telescope, 13 years of data from the SMARTS 1.3 m telescope at Las Campanas Observatory and a s ...

2019

Impact of the 3D source geometry on time-delay measurements of lensed type-Ia supernovae

Frédéric Courbin, Hung-Hsu Chan, Vivien François Bonvin, Martin Raoul Robert Millon, Olga Tihhonova, Elodie Marie Charlène Savary

It has recently been proposed that gravitationally lensed type-Ia supernovae can provide microlensing-free time-delay measurements provided that the measurement is taken during the achromatic expansion phase of the explosion and that color light curves are ...

EDP SCIENCES S A2019

Sensitivity to Time Delays in VDM-Based Navigation

Jan Skaloud, Gabriel François Laupré, Mehran Khaghani

A recently proposed navigation methodology for aerial platforms based on the vehicle dynamic model (VDM) has shown promising results in terms of navigation autonomy. Its practical realization requires that control inputs are related to the same absolute ti ...

2019

Proposition pour une approche rythmique de la mobilité. Le cas de la Suisse

Vincent Kaufmann, Guillaume Simon Joseph Drevon, Alexis Gumy

Transports et télécommunications procurent désormais des potentiels de vitesse considérables, ils peuvent affranchir des distances et (quasiment) permettre l’immédiateté dans la circulation de l’information et des idées. Largement utilisés, ces potentiels ...

2018

Constraining the microlensing effect on time delays with a new time-delay prediction model in H-0 measurements

Frédéric Courbin, Hung-Hsu Chan, Vivien François Bonvin, Martin Raoul Robert Millon, Karina Alexandra Rojas Olate

Time-delay strong lensing provides a unique way to directly measure the Hubble constant (H-0). The precision of the H-0 measurement depends on the uncertainties in the time-delay measurements, the mass distribution of the main deflector(s), and the mass di ...

OXFORD UNIV PRESS2018

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Temps (physique)

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Global maps of travel time to healthcare facilities

Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy

COSMOGRAIL XVIII. time delays of the quadruply lensed quasar WFI2033-4723

Impact of the 3D source geometry on time-delay measurements of lensed type-Ia supernovae

Sensitivity to Time Delays in VDM-Based Navigation

Proposition pour une approche rythmique de la mobilité. Le cas de la Suisse

Constraining the microlensing effect on time delays with a new time-delay prediction model in H-0 measurements

Graph Chatbot

Chattez avec Graph Search

Learning Dynamics of Spring-Mass Models with Physics-Informed Graph Neural Networks

Modeling, estimation, and control in large-scale urban road networks with remaining travel distance dynamics

Travel Time Prediction for Congested Freeways With a Dynamic Linear Model

Global maps of travel time to healthcare facilities

COSMOGRAIL XVIII. time delays of the quadruply lensed quasar WFI2033-4723

Multidimensional Measures of Physical Activity and Their Association with Gross Motor Capacity in Children and Adolescents with Cerebral Palsy

Constraining the microlensing effect on time delays with a new time-delay prediction model in H-0 measurements

Sensitivity to Time Delays in VDM-Based Navigation

Impact of the 3D source geometry on time-delay measurements of lensed type-Ia supernovae

Proposition pour une approche rythmique de la mobilité. Le cas de la Suisse