Publications associées à Échantillonneur

Beyond Tolerance Factor: Using Deep Learning for Prediction Formability of ABX3 Perovskite Structures

Mohammad Khaja Nazeeruddin, Tom Theodorus Antonius Lummen, Valentin Ianis Emmanuel Queloz, Alexander Fedorovskiy

Deep learning (DL) is a modern powerful instrument for multiple purposes, including classification. In this study, this technique is applied to the task of perovskites formability. A commonly known perovskite dataset is used to try to make an instrument su ...

2021

Reinforcement Learning and Hardware in the Loop for Localized Vibrotactile Feedback in Haptic Surfaces

Yves Perriard, Paolo Germano, Xiaotao Ren, Camilo Hernandez Mejia, Marc Michel Charles Favier

Touch is commonly used to mediate human-machine interactions, notably in the setting of Digital Musical Instruments (DMIs), where touch screens are prevalent. The lack of rich haptic feedback has an impact on the richness and quality of the interaction. Pi ...

IEEE2021

Modeling and Inferring Proto-Voice Structure in Free Polyphony

Martin Alois Rohrmeier, Christoph Finkensiep

Voice leading is considered to play an important role in the structure of Western tonal music. However, the explicit voice assignment of a piece (if present at all) generally does not reflect all phenomena related to voice leading. Instead, voice-leading p ...

ISMIR2021

Geospatial digital monitoring of COVID-19 cases at high spatiotemporal resolution

Stéphane Joost, Idris Guessous, David Nicolas De Ridder

SARS-CoV-2 spreads via close contact during daily activities, forming clusters of cases mainly in households and workplaces. A crucial challenge to contain the spread lies in the early detection of these outbreak clusters, and the localisation and isolatio ...

2020

An atomic force microscope integrated with a helium ion microscope for correlative nanoscale characterization

Georg Fantner, Santiago Harald Andany, Charlène Cécile Geneviève Brillard

In this work, we report on the integration of an atomic force microscope (AFM) into a helium ion microscope (HIM). The HIM is a powerful instrument, capable of imaging and machining of nanoscale structures with sub-nanometer resolution, while the AFM is a ...

BEILSTEIN-INSTITUT2020

Tape-Stripping Electrochemical Detection of Melanoma

Hubert Girault, Andreas Stephan Lesch, Horst Pick, Tzu-En Lin, Yingdi Zhu, Sorour Darvishi

A noninvasive electrochemical melanoma detection approach based on using adhesive tapes for collecting and fixing cells from a suspicious skin area and transferring the cells into a scanning electrochemical microscope (SECM) is presented. The adhesive laye ...

AMER CHEMICAL SOC2019

Absolutely calibrated Raman lidar as a reference tool in atmospheric humidity profiling

Valentin Simeonov

Raman lidars exploit the proportionality between the intensity of scattered by a Raman process laser radiation and the number density of the scattering molecules to derive water vapor mixing ratio profile. Water vapor/air mixing ratio is directly proportio ...

2014

Robust algorithm for aligning two-dimensional chromatograms

Jeremy Samuel Arey, Jonas Gros, Petros Dimitriou Christidis, Deedar Nabi, Rebecca Rutler

Comprehensive, two-dimensional gas chromatography (GC x GC) chromatogram's typically exhibit run-to-run retention time variability. Chromatogram alignment is often a desirable step prior to further analysis of the data, for example, in studies of environme ...

Amer Chemical Soc2012

Feature extraction of musical content for automatic music transcription

Ruohua Zhou

The purpose of this thesis is to develop new methods for automatic transcription of melody and harmonic parts of real-life music signal. Music transcription is here defined as an act of analyzing a piece of music signal and writing down the parameter repre ...

EPFL2006