Concept

Predictive modelling

Related publications (488)

Adaptive learning for disruption prediction in non-stationary conditions

Olivier Sauter, Yiming Li, Ambrogio Fasoli, Basil Duval, Jonathan Graves, Duccio Testa, Patrick Blanchard, Alessandro Pau, Federico Alberto Alfredo Felici, Cristian Sommariva, Antoine Pierre Emmanuel Alexis Merle, Haomin Sun, Michele Marin, Henri Weisen, Richard Pitts, Yann Camenen, Jan Horacek, Javier García Hernández, Marco Wischmeier, Nicola Vianello, Mikhail Maslov, Federico Nespoli, Yao Zhou, Davide Galassi, Antonio José Pereira de Figueiredo, Hamish William Patten, Samuel Lanthaler, Emiliano Fable, Francesca Maria Poli, Daniele Brunetti, Anna Teplukhina, Alberto Mariani, Kenji Tanaka, Bernhard Sieglin, Otto Asunta, Gergely Papp, Leonardo Pigatto

For many years, machine learning tools have proved to be very powerful disruption predictors in tokamaks. On the other hand, the vast majority of the techniques deployed assume that the input data is independent and is sampled from exactly the same probabi ...

2019

Predictive Validity of Thin-Slice Nonverbal Behavior from Social Interactions

Laurent Son Nguyen, Denise Frauendorfer

We present five studies investigating the predictive validity of thin slices of nonverbal behavior (NVB). Predictive validity of thin slices refers to how well behavior slices excerpted from longer video predict other measured variables. Using six NVBs, we ...

SAGE PUBLICATIONS INC2019

A sequence-dependent coarse-grain model of B-DNA with explicit description of bases and phosphate groups parametrised from large scale Molecular Dynamics simulations

Alessandro Samuele Patelli

We introduce a sequence-dependent coarse-grain model of double-stranded DNA with an explicit description of both the bases and the phosphate groups as interacting rigid-bodies. The model parameters are trained on extensive, state-of-the-art large scale mol ...

EPFL2019

Determination and evaluation of the nonadditivity in wetting of molecularly heterogeneous surfaces

Francesco Stellacci, Michele Ceriotti, Sylvie Roke, Quy Ong Khac, Halil Ibrahim Okur, David Mark Wilkins, Zhi Luo, Anna Murello, Filip Kovacik

The interface between water and folded proteins is very complex. Proteins have "patchy" solvent-accessible areas composed of domains of varying hydrophobicity. The textbook understanding is that these domains contribute additively to interfacial properties ...

PNAS2019

The dynamics of motor learning through the formation of internal models

Camilla Pierella

A medical student learning to perform a laparoscopic procedure or a recently paralyzed user of a powered wheelchair must learn to operate machinery via interfaces that translate their actions into commands for an external device. Since the user’s actions a ...

2019

Correlation of microdistortions with misfit volumes in High Entropy Alloys

William Curtin

The yield strengths of High Entropy Alloys have recently been correlated with measured or computed picometer-scale atomic distortions. Here, the root mean square microdistortion in a multicomponent alloy is shown to be nearly proportional to the misfit-vol ...

PERGAMON-ELSEVIER SCIENCE LTD2019

Improved modelling of a monomorph piezoelectric actuator for linear self-sensing applications

Yves Perriard, Louis Antoine Masson

Based on a previous approach for the modelling of piezoelectric monomorph benders, a new, more complete, analytical model is proposed. Some previously neglected features of the actuator stack, notably the thickness of the electrodes and the presence of iso ...

IEEE2019

Procedure for predicting part load resonance in Francis turbine hydropower units based on swirl number and local cavitation coefficient similitude

François Avellan, Christophe Nicolet, Arthur Tristan Favrel, Christian Landry, Sébastien Alligné, Loïc Andolfatto

Francis turbines operating at part load conditions develop a cavitation precessing vortex known as a vortex rope in the draft tube cone below the runner outlet. At part load conditions, this vortex precession acts as an excitation source inducing pressure ...

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD2019

Does desorption affect the length distributions of nanowires?

Anna Fontcuberta i Morral, Wonjong Kim, Vladimir Dubrovskii, Jelena Vukajlovic Plestina

State-of-the art models for statistical properties within the nanowire ensembles consider influx of precursors, reflection and surface diffusion of adatoms. These models predict a delay in the nanowire growth start and the evolution toward an asymmetric le ...

2019

When illusions merge

Michael Herzog, Aline Françoise Cretenoud

Recently, we found very weak correlations between the magnitudes of visual illusions. However, we found strong correlations between 19 variants of the Ebbinghaus illusion which differed in color, shape or texture, suggesting that different illusions make u ...

2019

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