Machinery Failure Prediction Professors in Global

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Mike Holenderski
Eindhoven University of Technology Belgium
performance prediction
machine learning
reliable machine learning
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Zheng Liu
University of British Columbia Canada
predictive maintenance
machine learning
machine vision
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Professorship Biometry Molecular Medicine
Ludwig Maximilian University of Munich Germany
prediction error estimation
prediction modeling
machine learning
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Ragnar Larsson
Chalmers University of Technology Sweden
computational material failure mechanics
machining simulation
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Michael Sternberg
Imperial College London United Kingdom
function prediction
protein structure prediction
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Stefan Hergarten
University of Freiburg Germany
hazard prediction
risk prediction
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Yanlan Mao
Aalborg University Denmark
production capacity prediction
machine learning
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Jie Liu
Carleton University Canada
machinery condition monitoring
machine learning
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Jie Liu
Carleton University Canada
machinery condition monitoring
machine learning
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Ashok Kaushal
Concordia University Canada
machinery monitoring and diagnostics
machine dynamics
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Kjell Jorner
ETH Zurich Switzerland
reaction prediction
machine learning
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Eric Polley
University of Chicago United States of America
risk prediction
machine learning
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Stephen Brett
Imperial College London United Kingdom
risk prediction
machine learning
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Jinying Chen
Boston University United States of America
risk prediction
machine learning
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Sebastiano Barbieri
University of New South Wales Australia
risk prediction
machine learning
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Anna Goldenberg
University of Toronto Canada
risk prediction
machine learning
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Rayjean Hung
University of Toronto Canada
risk prediction
machine learning
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Anisoara Calinescu
University of Oxford United Kingdom
control prediction
machine learning
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Philipp Sterzinger
London School of Economics United Kingdom
prediction
machine learning
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Victoria Blanes-vidal
University of Southern Denmark Denmark
prediction
machine learning
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D.m.j. Tax
Delft University of Technology Netherlands
prediction
machine learning
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