170,900 research outputs found

    Sharp Bounds for Seiffert Mean in Terms of Contraharmonic Mean

    No full text
    We find the greatest value α and the least value β in (1/2,1) such that the double inequality C(αa+(1-α)b,αb+(1-α)a)0 with a≠b. Here, T(a,b)=(a-b)/[2 arctan((a-b)/(a+b))] and Ca,b=(a2+b2)/(a+b) are the Seiffert and contraharmonic means of a and b, respectively

    Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas

    No full text
    Brüß C, Bollenbeck F, Schleif F-M, Weschke W, Villmann T, Seiffert U. Fuzzy Image Segmentation with Fuzzy Labelled Neural Gas. In: Proc. of ESANN 2006. 2006: 563-569

    Einflussfaktoren beim Fremd-/Zweitsprachenlernen: Wie das Ernstnehmen von Mehrsprachigkeit positive Emotionen im Unterricht stärken könnte

    No full text
    Riemer C. Einflussfaktoren beim Fremd-/Zweitsprachenlernen: Wie das Ernstnehmen von Mehrsprachigkeit positive Emotionen im Unterricht stärken könnte. In: Lindemann B, Marx N, Seiffert H, eds. (Mehr)Sprachen lernen, lehren, leben. 1st ed. Düren: Shaker; 2025: 134–137

    Bounds for the Combinations of Neuman-Sándor, Arithmetic, and Second Seiffert Means in terms of Contraharmonic Mean

    No full text
    We give the greatest values r1, r2 and the least values s1, s2 in (1/2, 1) such that the double inequalities C(r1a+(1-r1)b,r1b+(1-r1)a)0 with a≠b, where A(a,b), M(a,b), C(a,b), and T(a,b) are the arithmetic, Neuman-Sándor, contraharmonic, and second Seiffert means of a and b, respectively

    Aptidão de solos da bacia hidrográfica do Rio do Peixe para aporte de fertilizantes orgânicos.

    No full text
    Condições climáticas, geologia e relevo; Solos; Potencial poluente da fertilização orgânica; Recomendações

    Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes

    No full text
    Villmann T, Seiffert U, Schleif F-M, Brüß C, Geweniger T, Hammer B. Fuzzy Labeled Self-Organizing Map with Label-Adjusted Prototypes. In: Schwenker F, ed. Proceedings of Conference Artificial Neural Networks in Pattern Recognition. Berlin: Springer; 2006: 46-56

    Going Beyond Counting First Authors in Author Co-citation Analysis

    No full text
    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
    corecore