Road Conditions Monitoring Estimations Using Geostatistics And Deep Learning Professors in Global

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Fangce Guo
Imperial College London United Kingdom
traffic state estimation
traffic forecasting
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Suliman Gargoum
University of British Columbia Canada
deep learning
geospatial data analytics
advanced road safety analytics
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Tom Jaksztat
University of Freiburg Germany
deep learning
geospatial data utilization
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Patryk Rygiel
University of Twente Netherlands
deep learning
geometric deep learning
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Christoph Brune
University of Twente Netherlands
deep learning
geometric deep learning
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Anastasios Kratsios
University of Toronto Canada
deep learning
geometric deep learning
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Krishna Swamy
Yale University United States of America
deep learning
geometric deep learning
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Mahdi Farnaghi
University of Twente Netherlands
deep learning
geo-information processing
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Wilco Burghout
KTH Royal Institute of Technology Sweden
traffic analysis
traffic modeling
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Anthony Robinson
Pennsylvania State University United States of America
geovisual analytics
geospatial big data analytics
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Thea Brüsch
Technical University of Denmark Denmark
road condition modelling
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Shahrzad Pour
Technical University of Denmark Denmark
road condition modeling
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Archie Huang
Concordia University Canada
traffic state estimation
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Frédéric Moser
University of Geneva Switzerland
geospatial data analysis
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Annette Rudolph
Technical University of Berlin Germany
geospatial data analysis
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Ismael Foroughi
University of New Brunswick Canada
geospatial data analysis
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Claus Rinner
Toronto Metropolitan University Canada
geospatial data analysis
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Sucharita Gopal
Boston University United States of America
geospatial data analysis
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David Shean
University of Washington United States of America
geospatial data analysis
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Tae Wook Kim
Stanford University United States of America
geospatial data analysis
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Claus Rinner
Toronto Metropolitan University Canada
geospatial data analysis
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