يعرض 1 - 20 نتائج من 67 نتيجة بحث عن '"Ersboll, Bjarne K."', وقت الاستعلام: 0.59s تنقيح النتائج
  1. 1
    Report
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    Academic Journal

    المساهمون: Ministerio de Ciencia e Innovación (España), Instituto de Salud Carlos III (España)

    Relation: Gobierno de España. DTS21/00091; Gobierno de España. RTI2018-101857-B-432 I00; Laria, J. C., Clemmensen, L. H., Ersbøll, B. K. & Delgado-Gómez, D. (2020). A Generalized Linear Joint Trained Framework for Semi-Supervised Learning of Sparse Features. Mathematics, 10(16), 3001.; http://hdl.handle.net/10016/37552; https://doi.org/10.3390/math10163001; 16, 3001; 18; Mathematics; 10; AR/0000031430

  3. 3
    Book
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    Book
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    Book
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    Book
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    Book
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    Book
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    Book
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    Academic Journal
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    Academic Journal
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    Academic Journal
  13. 13
    Book
  14. 14
    Book

    المصدر: Computer Analysis of Images and Patterns ; Lecture Notes in Computer Science ; page 208-218 ; ISSN 0302-9743 1611-3349 ; ISBN 9783319646886 9783319646893

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    Academic Journal

    المصدر: Caballero , D , Antequera , T , Caro , A , Rubio , J M A , Ersbøll , B K , Dahl , A B & Pérez-Palacios , T 2018 , ' Analysis of MRI by fractals for prediction of sensory attributes : A case study in loin ' , Journal of Food Engineering , vol. 227 , pp. 1-10 . https://doi.org/10.1016/j.jfoodeng.2018.02.005

    مصطلحات موضوعية: Fractals, MRI analysis, Data mining, Prediction sensory traits, Meat

  16. 16
    Academic Journal

    المصدر: Caballero , D , Caro , A , Dahl , A B , ErsbOll , B K , Amigo , J M , Perez-Palacios , T & Antequera , T 2018 , ' Comparison of different image analysis algorithms on MRI to predict physico-chemical and sensory attributes of loin ' , Chemometrics and Intelligent Laboratory Systems , vol. 180 , pp. 54-63 . https://doi.org/10.1016/j.chemolab.2018.04.008

    مصطلحات موضوعية: Fractal, Texture features, Algorithms, Data mining, Food technology

  17. 17
    Academic Journal

    المصدر: Caballero , D , Perez-Palacios , T , Caro , A , Amigo , J M , Dahl , A B , Ersbøll , B K & Antequera , T 2017 , ' Prediction of pork quality parameters by applying fractals and data mining on MRI ' , Food Research International , vol. 99 , pp. 739-747 . https://doi.org/10.1016/j.foodres.2017.06.048

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    Academic Journal
  19. 19
    Conference
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    Conference