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Publications associées (32)

Impact of quantum-chemical metrics on the machine learning prediction of electron density

Machine learning (ML) algorithms have undergone an explosive development impacting every aspect of computational chemistry. To obtain reliable predictions, one needs to maintain a proper balance between the black-box nature of ML frameworks and the physics ...

AMER INST PHYSICS2021

Measurement-system design for structural identification

Numa Joy Bertola

In developed countries, the management of existing civil infrastructure is challenging due to evolving functional requirements, aging and climate change. Due to conservative approaches in construction design and practice, infrastructure often has hidden re ...

EPFL2020

Benchmarking of the plane-to-plane metric

Touradj Ebrahimi, Evangelos Alexiou

In this report we benchmark the plane-to-plane objective quality metric. This is, a metric that measures the angular similarity of tangent planes between two point cloud models and relies on normal vectors that are carried with associated pairs of points. ...

2020

A Short Synthesis of the 2-Bromo-N,9-dimethyl-6,7,8,9-tetrahydro-5H-pyrido[2,3-b]indol-6-amine Building Block

Andrea Pfeifer, Andreas Muhs

A concise synthesis of pharmaceutically useful (R)-tert-butyl N-(2-bromo-9-methyl-6,7,8,9-tetrahydro-5H-pyrido [2,3-b ] indol-6-yl) -N-methylcarbamate building block 11 is described. The racemic intermediate 17 was prepared in a single step from 2-bromo-6- ...

AMER CHEMICAL SOC2019

Toward ultra-low power design methodology for frequency generation in the IoT design space

Mathieu Yves Hervé Coustans

Today, the semiconductor industry is feeding our digital world with more and more data coming from compact embedded electronics that are monitoring our environment and feeding analytics for action. Interaction with our digital world is mostly achieved thro ...

EPFL2019

Analysis of the lightning production of convective cells

Marcos Rubinstein, Mohammad Azadifar, Antonio Sunjerga, Amirhossein Mostajabi, Jacopo Grazioli, Nikola Besic, Urs Martin Germann

This paper presents an analysis of the lightningproduction of convective cells. The cells were detected by the MeteoSwiss Thunderstorms Radar Tracking (TRT) algorithm in the course of a lightning measurement campaign thattook place in the summer of 2017 in ...

2019

Characterization of local morphology and availability of triple-phase boundaries in solid oxide cell electrodes

Jan Van Herle, Marco Cantoni, Arata Nakajo, Pierre Burdet, Giorgio Rinaldi

The performance of solid oxide cells is known to be dependent upon the density of three phase boundaries (TPB), but the potential for improving their effective electrocatalytic activity by morphological adjustments is imprecisely known. A spilling algorith ...

2019

Discomfort Glare Cut-Off Values from Field and Laboratory Studies

Jan Wienold, Mandana Sarey Khanie, Clotilde Marie A Pierson, Magali Bodart

For the application of discomfort glare metrics, a categorisation is used, dividing the metric scale into categories of perception. These categories are separated by borderline values, or so-called cut-off values. Recent literature shows that these cut-off ...

2019

Gravity as a Reference for Estimating a Person's Height from Video

Pascal Fua, Helge Jochen Rhodin, Semih Günel, Didier Bieler

Estimating the metric height of a person from monocular imagery without additional assumptions is ill-posed. Existing solutions either require manual calibration of ground plane and camera geometry, special cameras, or reference objects of known size. We f ...

IEEE2019

Procrustes Metrics and Optimal Transport for Covariance Operators

Valentina Masarotto

Covariance operators play a fundamental role in functional data analysis, providing the canonical means to analyse functional variation via the celebrated Karhunen-Loève expansion. These operators may themselves be subject to variation, for instance in con ...

EPFL2019

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