Publications associées à Seuil électoral

Adapting Virtual Embodiment through Reinforcement Learning

Olaf Blanke, Ronan Boulic, Bruno Herbelin, Yawen Hou

In Virtual Reality, having a virtual body opens a wide range of possibilities as the participant's avatar can appear to be quite different from oneself for the sake of the targeted application (e.g. for perspective-taking). In addition, the system can part ...

2021

On the radar: Predicting near-future surges in skills’ hiring demand to provide early warning to educators

Pierre Dillenbourg, Richard Lee Davis, Ramtin Yazdanian

The AI-driven Fourth Industrial Revolution and the COVID-19 pandemic have one important thing in common: they both have caused significant and rapid changes to the skill set landscape of various industries. These disruptive forces mean that the early ident ...

2021

Comparison of crack segmentation using digital image correlation measurements and deep learning

Katrin Beyer, Radhakrishna Achanta, Amir Rezaie, Michele Godio

Reliable methods for detecting pixels that represent cracks from laboratory images taken for digital image correlation (DIC) are required for two main reasons. Firstly, the segmented crack maps are used as an input for some DIC methods that are based on di ...

2020

Daylight Discomfort Glare Evaluation with Evalglare: Influence of Parameters and Methods on the Accuracy of Discomfort Glare Prediction

Jan Wienold, Clotilde Marie A Pierson, Magali Bodart

Nowadays, discomfort glare indices are frequently calculated by using evalglare. Due to the lack of knowledge on the implications of the methods and parameters of evalglare, the default settings are often used. But wrong parameter settings can lead to inap ...

2018

Engineering the Lateral Optical Guiding in Gallium Nitride-Based Vertical-Cavity Surface-Emitting Laser Cavities to Reach the Lowest Threshold Gain

Nicolas Grandjean, Gatien Cosendey, Ehsan Hashemi

In order to improve the current injection in GaN-based blue vertical-cavity surface-emitting lasers (VCSELs) a dielectric aperture is generally used in combination with an indium-tin-oxide (ITO) layer on the top intracavity p-contact layer. The most straig ...

Iop Publishing Ltd2013

Study of the B→X(3872)(→D*0D̄0)K decay

Olivier Schneider, Aurelio Bay, Chao Wang, Tagir Aushev, Vladislav Balagura, Jean Wicht, Remi Léandre Albert Louvot, Nicolas Zwahlen, Ji Hyun Kim, Jing Li

We present a study of B→X(3872)K with X(3872) decaying to D0D̄0 using a sample of 657×106 BB̄ pairs recorded at the Υ(4S) resonance with the Belle detector at the KEKB asymmetric-energy e+e- collider. Both D0→D0γ and D*0→D0π0 decay modes are used. We fin ...

2010

Photonic-crystal microcavity laser with site-controlled quantum-wire active medium

Elyahou Kapon, Alok Rudra, Benjamin Dwir, Pascal Gallo, Kirill Atlasov, Milan Calic

Site-controlled quantum-wire photonic-crystal microcavity laser is experimentally demonstrated using optical pumping. The single-mode lasing and threshold are established based on the transient laser response, linewidth narrowing, and the details of the no ...

2009

A Stochastic Perturbative Approach to Design a Defect-Aware Thresholder in the Sense Amplifier of Crossbar Memories

Giovanni De Micheli, David Atienza Alonso, Yusuf Leblebici, Mohamed Haykel Ben Jamaa

The use of nanowire crossbars to build devices with large storage capabilities is a very promising architectural paradigm for forthcoming nanoscale memory devices. However, this new type of memory devices raises questions regarding how to test their correc ...

ACM/IEEE Press2009

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Seuil électoral

Adapting Virtual Embodiment through Reinforcement Learning

On the radar: Predicting near-future surges in skills’ hiring demand to provide early warning to educators

Comparison of crack segmentation using digital image correlation measurements and deep learning

Daylight Discomfort Glare Evaluation with Evalglare: Influence of Parameters and Methods on the Accuracy of Discomfort Glare Prediction

Bayesian Semiparametrics for Modelling the Clustering of Extreme Values

Engineering the Lateral Optical Guiding in Gallium Nitride-Based Vertical-Cavity Surface-Emitting Laser Cavities to Reach the Lowest Threshold Gain

A comparison of different automated methods for the detection of white matter lesions in MRI data

Study of the B→X(3872)(→D*0D̄0)K decay

Photonic-crystal microcavity laser with site-controlled quantum-wire active medium

A Stochastic Perturbative Approach to Design a Defect-Aware Thresholder in the Sense Amplifier of Crossbar Memories

Graph Chatbot

Chattez avec Graph Search

Adapting Virtual Embodiment through Reinforcement Learning

On the radar: Predicting near-future surges in skills’ hiring demand to provide early warning to educators

A Stochastic Perturbative Approach to Design a Defect-Aware Thresholder in the Sense Amplifier of Crossbar Memories

Study of the B→X(3872)(→D*0D̄0)K decay

Comparison of crack segmentation using digital image correlation measurements and deep learning

Daylight Discomfort Glare Evaluation with Evalglare: Influence of Parameters and Methods on the Accuracy of Discomfort Glare Prediction

A comparison of different automated methods for the detection of white matter lesions in MRI data

Photonic-crystal microcavity laser with site-controlled quantum-wire active medium

Bayesian Semiparametrics for Modelling the Clustering of Extreme Values

Engineering the Lateral Optical Guiding in Gallium Nitride-Based Vertical-Cavity Surface-Emitting Laser Cavities to Reach the Lowest Threshold Gain