Titlebook: Theoretical Computer Sciences; Lectures given at a F. Preparata Book 2011 Springer-Verlag Berlin Heidelberg 2011

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https://doi.org/10.1007/978-3-030-49115-4Ekistics; Human-environment interactions; Sustainable management; Urban ecology; Habitat linkages; Disast

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Performance Budgeting978-1-137-00152-8Series ISSN 2947-9312 Series E-ISSN 2947-9320

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Paolo Orlandi,Stefano Leonardi,Robert Anthony Antoniapared, using a factorial treatment structure of 3 frequency values crossed with 2 amplitudes. The resulting data were reduced to binary outcomes for each animal, producing a 3 × 2 × 2 contingency table. Although the numbers were small, there appeared to be a large effect of amplitude at the two extr

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K. Cherfouh,E. W. Handerson,J. Gu,E. Scheme,M. Asad,U. Farooqtitioners, and graduate students.Includes supplementary mate.Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand a

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Vladimir Ermolaevplicate detection. We have seen that iterative duplicate detection uses a similarity measure to classify a candidate pair as duplicate or non-duplicate. More specifically, given a similarity threshold θ, we classify two candidates . and .’ using a similarity measure . by