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Publications associées (6)

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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

Time series data interpretation for ‘wheel-flat’ identification including uncertainties

Ian Smith, Numa Joy Bertola

Train wheel flats are formed when wheels slip on rails. Crucial for passenger comfort and the safe operation of train systems, early detection and quantification of wheel-flat severity without interrupting railway operations is a desirable and challenging ...

2019

Visualization techniques for heterogeneous and multidimensional simulated building performance data sets

Marilyne Andersen, Thomas Bernard Paul Jusselme

The architecture, environment and construction industry is facing, on the one hand, ambitious environmental regulations for low carbon and net zero energy buildings, and on the other hand, the emergence of new techniques such as parametric assessment and c ...

2017

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Educational data continues to grow in volume, velocity and variety. Making sense of the educational data in such conditions requires deployment and usage of appropriate scalable, real-time processing tools supporting a flexible data schema. Elasticsearch i ...

2016

Objectives: Many nanomaterials (materials with structures smaller than 100 nm) have chemical, physical and bioactive characteristics of interest for novel applications. Considerable research efforts have been launched in this field. This study aimed to stu ...

2015

Visualizing resource allocation tasks

Pearl Pu Faltings

Allocating resources-whether labor or tools-is a ubiquitous task in factories, hospitals, airlines and communication network companies. It also exemplifies decision-making problems involving complex, changing criteria and presents unusual challenges to inf ...

IEEE1997

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