Titlebook: Near Polygons; Bart Bruyn Book 2006Latest edition The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nat

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ose ., an autoregressive deep convolutional neural network (CNN) model that is trained on over 500 h of human annotated training samples to remove ads and music from broadcast content. . reached very high performance results in our tests, achieving 97% and 95% in precision and recall on detecting ad

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typo based on masked language model output, character-level similarities, and edit distance. Exploiting the combination of the masked language model, character-level similarities, and edit distance assists us in recommending similar context-related candidates. We have used recall (correction rate) a

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1660-8046 esented. Many known results occur in a more general form and the proofs are often more streamlined than their original versions. The volume is aimed at advanced graduate students and researchers in the fields of combinatorics and finite geometry..978-3-7643-7552-2978-3-7643-7553-9Series ISSN 1660-8046 Series E-ISSN 1660-8054

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ational IoT Systems Provisioning & Management for Context-Aware Smart Cities (ISYCC). 3 papers over the 5 received submissions were accepted. Moreover, 3 invite978-3-030-45988-8978-3-030-45989-5Series ISSN 0302-9743 Series E-ISSN 1611-3349

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978-3-7643-7552-2The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl

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Dense near polygons,A near polygon is called . if every line is incident with at least three points and if every two points at distance 2 have at least two common neighbours. The aim of this chapter is to summarize the various nice properties which are satisfied by dense near polygons. From Theorem 1.20, we immediately have: