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Keynote Speakers |
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Plenary Speakers |
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Keynote 1) Main trends and opportunities in the use of new generation of near-infrared sensors for the control, authentication and monitoring of agrifood products and processes Dolorez Perez-Marin |
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Opening Lecture 1) Title to be announced Gerhard Litscher Medical University of Graz, Austria |
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Keynote 2) Subsampling, sampling, oversampling? NIR or HSI-NIR? Jose Manuel Amigo |
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Opening Lecture 2) Title to be announced Heinz Siesler |
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Keynote 3) Chemometrics is more than algorithms? Tom Fearn |
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Plenary 1) State-of-the-art NIR imaging - Instrumentation and applications Yukihiro Ozaki |
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Keynote 4) Hyperspectral microscope imaging and artificial intelligence for food safety and quality Bosoon Park
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Plenary 2)The nine rune rules of NIR spectroscopy. Stories from teaching, reviewing and science Soren Engelsen |
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Keynote 5) Analysis of cereal quality using NIR spectroscopy - a journey that began on 1st August 1975 Marena Manley |
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Plenary 3) Good Vibrations in the Gas Phase - From NIR to MIR Boris Mizaikoff
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Keynote 6) Hyperspectral Imaging for Process Control in Coating and Finishing Technology Tom Scherzer |
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Plenary 4) Spectroscopy through the eyes of a chemometrician; How NIR can profit from recent advances in chemometrics Federico Marini |
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Keynote 7) Control of Polymerization Process and Study on Polymer Structure Using NIR & IR Longhai Guo
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Keynote 8) Recent Results of Near Infrared Spectroscopy on the Way “From Farm to Fork” or Even Further Zoltan Kovacs |
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Keynote 9) Model building in NIR spectral imaging: basic principles and selected applications Aoife Gowen |
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Keynote 10) Point-of-care applications of near-infrared spectroscopy in clinical medicine Bayden Wood |
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Keynote 11) NIRS - Aquaphotomics: New Integrative Science and Technology Platform Roumiana Tsenkova |
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Keynote 12) Elastic and Inelastic Light Scattering Spectroscopy: The Hidden Champion in PAT Applications Rudolf Kessler |
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Keynote 13) NIR Spectroscopy Contributed to SDGs - from Viewpoint of Wood Science and Technology Satoru Tsuchikawa
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Keynote 14) Machine learning approaches for NIR spectroscopy in herbal medicine production Stefan Schönbichler |
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Keynote 15) Title to be announced Bernhard Lendl University of Vienna, Austria |