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Data mining methodologies for supporting engineers during system identification

Publications associées (124)

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In recent years, funding agencies, governments, and international organization have issued a series of research data management and sharing policies, like the H2020 [1]. Researchers are encouraged or required to share their production in an open way, inclu ...

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Measurement data interpretation and prediction for optimal management of bridges

Marco Proverbio

For many developed countries, the asset management of aging infrastructure continues to present challenges and risks. Around the world, built-environment assets such as bridges, require functional changes and future-proofing in order to accommodate new and ...

EPFL2019

Concrete Dam Displacement Prediction Based on an ISODATA-GMM Clustering and Random Coefficient Model

Zhenzhu Meng, Yating Hu, Chenfei Shao

Displacement data modelling is of great importance for the safety control of concrete dams. The commonly used artificial intelligence method modelled the displacement data at each monitoring point individually, i.e., the data correlations between the monit ...

2019

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Ian Smith, Sai Ganesh Sarvotham Pai

Model-based data interpretation has the potential to increase knowledge of structural behavior and support asset management. Models are usually conservative and contain many parameters and sources of systematic uncertainty, which need to be taken into acco ...

2019

Using Regularized Linear-Regression Surrogate Models for Accurate Probabilistic Structural Identification

Ian Smith, Sai Ganesh Sarvotham Pai

AMER SOC CIVIL ENGINEERS2019

A method for improving ideas selection in crowdsourcing

Gianluigi Viscusi

This paper presents an early-stage application of the design science research (DSR) method to obtain a new idea selection approach, which uses clustering to filter ideas while taking into account the seeker’s goals and the learning dynamics. Most of previo ...

2019

Precision Global Health - The case of Ebola: a scoping review

Gérard Escher

Background The 2014-2016 Ebola outbreak across West Africa was devastating, acting not only as a wake-up call for the global health community, but also as a catalyst for innovative change and global action. Improved infectious disease monitoring is the ste ...

2019

Interactive Optimization With Parallel Coordinates: Exploring Multidimensional Spaces for Decision Support

François Maréchal, Nils Christian Schüler, Sébastien Cajot

Interactive optimization methods are particularly suited for letting human decision makers learn about a problem, while a computer learns about their preferences to generate relevant solutions. For interactive optimization methods to be adopted in practice ...

2019

A systematic review of machine learning methodologies for modelling passenger mode choice

Michel Bierlaire, Timothy Michael Hillel

Machine Learning (ML) approaches are increasingly being investigated as an alternative to Random Utility Models (RUMs) for modelling passenger mode choice. These approaches have the potential to provide valuable insights into choice modelling research ques ...

2019

Necessity entrepreneurship and industry choice in new firm creation

Marc Gruber, Argyro Nikiforou

Research Summary Research on necessity entrepreneurship has generated important insights, yet it views necessity entrepreneurs in developed countries as one encompassing group of unemployed individuals-ignoring that the level of need is not uniform but ins ...

WILEY2019

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