Concept

Precision and recall

Related publications (136)

Technical Brief: Knockdown Factor for the Buckling of Spherical Shells Containing Large-Amplitude Geometric Defects

Pedro Miguel Nunes Pereira de Almeida Reis, Anna Lee

We explore the effect of precisely defined geometric imperfections on the buckling load of spherical shells under external pressure loading, using finite-element analysis that was previously validated through precision experiments. Our numerical simulation ...

American Society of Mechanical Engineers2017

Capsules: Their Past and Opportunities for Their Future

Esther Amstad

Capsules are often used as mobile delivery vehicles, for example, in pharmacy, food, and cosmetics, or as stationary containers that are embedded in a matrix to functionalize materials. Progress achieved in polymer chemistry opened up new possibilities to ...

2017

Apparatus to apply forces in a three-dimensional space

Grégoire Courtine, Joachim von Zitzewitz

The present invention relates to a robotic system useful to unload an object/person from its weight. The robotic system is useful in locomotor rehabilitation programs and allows the manipulation of forces in a three-dimensional space with far lower actuato ...

2017

Reproducibility in density functional theory calculations of solids

Nicola Marzari, Ivano Eligio Castelli, Lorenzo Paulatto, François Gygi, Gian-Marco Rignanese, Matthias Scheffler

The widespread popularity of density functional theory has given rise to an extensive range of dedicated codes for predicting molecular and crystalline properties. However, each code implements the formalism in a different way, raising questions about the ...

American Association for the Advancement of Science2016

High order path integrals made easy

Michele Ceriotti, Venkat Kapil

The precise description of quantum nuclear fluctuations in atomistic modelling is possible by employing path integral techniques, which involve a considerable computational overhead due to the need of simulating multiple replicas of the system. Many approa ...

American Institute of Physics2016

BDD Minimization for Approximate Computing

Mathias Soeken, Arun Chandrasekharan

We present Approximate BDD Minimization (ABM) as a problem that has application in approximate computing. Given a BDD representation of a multi-output Boolean function, ABM asks whether there exists another function that has a smaller BDD representa ...

IEEE2016

Sentiment Classification of Tweets using Hierarchical Classification

Afroze Ibrahim Baqapuri

This paper addresses the problem of sentiment classification of short messages on microblogging platforms. We apply machine learning and pattern recognition techniques to design and implement a classification system for microblog messages assigning them in ...

Ieee2016

Retrospective correction of involuntary microscopic head movement using highly accelerated fat image navigators (3D FatNavs) at 7T

Rolf Gruetter, José Pedro Rebelo Ferreira Marques, Daniel Gallichan

PURPOSE: The goal of the present study was to use a three-dimensional (3D) gradient echo volume in combination with a fat-selective excitation as a 3D motion navigator (3D FatNav) for retrospective correction of microscopic head motion during high-resoluti ...

Wiley-Blackwell2016

A method for aggregating external operating conditions in multi-generation system optimization models

Adriano Viana Ensinas, Christoffer Lythcke-Jørgensen

This paper presents a novel, simple method for reducing external operating condition datasets to be used in multi-generation system optimization models. The method, called the Characteristic Operating Pattern (CHOP) method, is a visually-based aggregation ...

2016

Fast and Robust Segmentation of the Striatum Using Deep Convolutional Neural Networks

Kyong Hwan Jin

Background: Automated segmentation of brain structures is an important task in structural and functional image analysis. We developed a fast and accurate method for the striatum segmentation using deep convolutional neural networks (CNN). New method: T1 ma ...

Elsevier2016

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