Publications related to RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

Electrochemical Impedance Spectroscopy (EIS) and Equivalent Circuit Models (ECMs) are widely used to characterize the impedance and estimate parameters of electrochemical systems such as batteries. We use a generic ECM with ten parameters grouped to model ...

2024

Adversarial Parametric Pose Prior

Pascal Fua, Mathieu Salzmann, Anastasia Remizova, Andrey Davydov, Victor Constantin, Sina Honari

The Skinned Multi-Person Linear (SMPL) model represents human bodies by mapping pose and shape parameters to body meshes. However, not all pose and shape parameter values yield physically-plausible or even realistic body meshes. In other words, SMPL is und ...

IEEE2022

Practical issues with modeling extreme Brazilian rainfall

Anthony Christopher Davison, Isolde Santos Previdelli, Paulo Vitor Da Costa Pereira

Accurately quantifying extreme rainfall is important for the design of hydraulic structures, for flood mapping and zoning and for disaster management. In order to produce maps of estimates of 25-year rainfall return levels in Brazil, we selected 893 shorte ...

BRAZILIAN STATISTICAL ASSOCIATION2021

Adaptive Approximation of Shapes

We consider scalar-valued shape functionals on sets of shapes which are small perturbations of a reference shape. The shapes are described by parameterizations and their closeness is induced by a Hilbert space structure on the parameter domain. We justify ...

TAYLOR & FRANCIS INC2021

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Kenneth Joseph Paul

Estimation of the trajectory is a fundamental problem in robotics. Introduction of additional measurements in a robotic platform reduces the uncertainty in the trajectory estimate. The limitations on the power and payload in a UAV platform advocates for th ...

2019

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Mohsen Talebkeikhah, Farzaneh Talebkeikhah

This study evaluates and compares several machine learning methods on the effects of different parameters in the hydrothermal carbonisation (HTC) process of macroalgae Sargassum horneri. Reaction temperature, residence time, biomass particle size, the amou ...

TAYLOR & FRANCIS LTD2019

Exploring Data Partitions for What-if Analysis

Quoc Viet Hung Nguyen, Thành Tâm Nguyên

What-if analysis is a data-intensive exploration to inspect how changes in a set of input parameters of a model influence some outcomes. It is motivated by a user trying to understand the sensitivity of a model to a certain parameter in order to reach a se ...

2018

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Jan Skaloud, Stéphane Guerrier, Philipp Clausen

The proliferation of (low-cost) sensors provokes new challenges in data fusion. This is related to the correctness of stochastic characterization that is a prerequisite for optimal estimation of parameters from redundant observations. Different (statistica ...

2017

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Sohrab Mirshams Shahshahani

We construct a one parameter family of nite time blow ups to the co-rotational wave maps problem from

S^2\times R

to

S^2

parameterized by

\nu \epsilon (\frac{1}{2},1]

. The longitudinal function

u(t,\alpha)

which is the main object of study will be ...

2016

The detection of cavitation in hydraulic machines by use of ultrasonic signal analysis

Mohamed Farhat, Pascal Damian Odermatt, Michelle Susanne Frei

This presentation describes an experimental approach for the detection of cavitation in hydraulic machines by use of ultrasonic signal analysis. Instead of using the high frequency pulses (typically 1MHz) only for transit time measurement different other s ...

International Association For Hydraulic Research2014

RENORMALIZATION AND BLOW-UP FOR WAVE MAPS FROM S-2 x R TO S-2

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On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

Adversarial Parametric Pose Prior

Practical issues with modeling extreme Brazilian rainfall

Adaptive Approximation of Shapes

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Exploring Data Partitions for What-if Analysis

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

The detection of cavitation in hydraulic machines by use of ultrasonic signal analysis

On the use of Cramér-Rao Lower Bound for least-variance circuit parameters identification of Li-ion cells

Parameter Determination of Sensor Stochastic Models under Covariate Dependency

The detection of cavitation in hydraulic machines by use of ultrasonic signal analysis

Physico-chemical properties prediction of hydrochar in macroalgae Sargassum horneri hydrothermal carbonisation

Adaptive Approximation of Shapes

Introducing Vehicle Dynamic Models in Dynamic Networks for Navigation in UAVs

Renormalization and blow up for wave maps from $S^2 \times \mathbb{R}$ to $S^2$

Practical issues with modeling extreme Brazilian rainfall

Exploring Data Partitions for What-if Analysis

Adversarial Parametric Pose Prior