Publication
Optimizing the parameterization of deep mixing and internal seiches in one-dimensional hydrodynamic models: a case study with Simstrat v1.3
Related publications (65)
Physics-informed machine learning for reduced-order modeling of nonlinear problems
Qian Wang, Jan Sickmann Hesthaven
A physics-informed machine learning framework is developed for the reduced-order modeling of parametrized steady-state partial differential equations (PDEs). During the offline stage, a reduced basis is extracted from a collection of high-fidelity solution ...
2020Intent Prediction Based on Biomechanical Coordination of EMG and Vision-Filtered Gaze for End-Point Control of an Arm Prosthesis
Aude Billard, Silvestro Micera, Iason Batzianoulis, Nili Eliana Krausz
We propose a novel controller for powered prosthetic arms, where fused EMG and gaze data predict the desired end-point for a full arm prosthesis, which could drive the forward motion of individual joints. We recorded EMG, gaze, and motion-tracking during p ...
2020Some first results on the consistency of spatial regression with partial differential equation regularization
We study the consistency of the estimator in spatial regression with partial differential equa-tion (PDE) regularization. This new smoothing technique allows to accurately estimate spatial fields over complex two-dimensional domains, starting from noisy ob ...
2020Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs
Touradj Ebrahimi, Evangelos Alexiou
This paper presents a quality evaluation study of point cloud codecs that have been recently standardised by the MPEG committee. In particular, a subjective experiment to assess their performance in terms of bitrate against visual quality is designed and r ...
IEEE2020Spatially Varying Monte Carlo SURE for the Regularization of Biomedical Images
Jean-Philippe Thiran, Marco Pizzolato
Regularization, filtering, and denoising of biomedical images requires the use of appropriate filters and the adoption of efficient regularization criteria. It has been shown that the Stein’s Unbiased Risk Estimate (SURE) can be used as a proxy for the mea ...
IEEE2019Efficient numerical representation of the impacts of flexible plant reconfiguration on canopy posture and hydrodynamic drag
This study considered a new approach for representing flexible canopies within large-eddy simulation that captures the impacts of reconfiguration on both the canopy posture and the canopy drag. The unsteady change in plant posture in response to the passag ...
2019Local estimation of the global horizontal irradiance using an all-sky camera
Mario Paolone, Fabrizio Sossan, Enrica Scolari
Localised and high-frequency measurements of the global horizontal irradiance (GHI) are a key information to assess the level of power production of distributed photovoltaic generation. The paper presents a supervised machine learning-based procedure to es ...
PERGAMON-ELSEVIER SCIENCE LTD2018One-step solution to local tie vector determination at co-located GNSS/VLBI sites
Jean-Philippe Lucien Montillet
The local tie vector, which connects the different space geodetic techniques at a co-located site, plays an important role in the realization of the International Terrestrial Reference Frame (ITRF). This paper presents a new method to determine the tie vec ...
SPRINGER2018Bone orientation and position estimation errors using Cosserat point elements and least squares methods: Application to gait
The aim of this study was to analyze the accuracy of bone pose estimation based on sub-clusters of three skin-markers characterized by triangular Cosserat point elements (TCPEs) and to evaluate the capability of four instantaneous physical parameters, whic ...
Elsevier2017Mitigating Slow Dynamics of Low-Cost Chemical Sensors for Mobile Air Quality Monitoring Sensor Networks
Alcherio Martinoli, Ali Marjovi, Adrian Arfire
The last decade has seen a growing interest in air quality monitoring using networks of wireless low-cost sensor platforms. One of the unifying characteristics of chemical sensors typically used in real-world deployments is their slow response time. While ...
2016