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Titlebook: Agile Autonomy: Learning High-Speed Vision-Based Flight; Antonio Loquercio Book 2023 The Editor(s) (if applicable) and The Author(s), unde

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楼主: Filament
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Agile Autonomy: Learning High-Speed Vision-Based Flight
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Mutationsscreening mittels Restriktionsfragmentlängenanalyse (RFLA) am Beispiel des Gens für die famtes mit erheblichem Zeit- und Arbeitsaufwand verbunden. Hier stellen wir eine Screeningmethode (Restriktionsfragmentlängenanalyse, RFLA) vor, die es uns erlaubt, Deletionen und Insertionen mit hoher Sensitivität, schnell und einfach mit einem automatischen Laser-Fluoreszenz-Sequenzierer (A.L.F.) übe
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Neural Architecture Performance Prediction Using Graph Neural Networks,e to the high computational costs, most recent approaches to NAS as well as the few available benchmarks only provide limited search spaces. In this paper we propose a surrogate model for neural architecture performance prediction built upon Graph Neural Networks (GNN). We demonstrate the effectiven
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Predicting residue and helix contacts in membrane proteins,ormatics approaches for the prediction of pairwise residue contacts in membrane proteins have existed until recently. In this chapter we describe novel contact prediction methods based on residue coevolution and machine learning techniques specifically geared towards membrane proteins. While contact
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Bisection-Based Triangulations of Nested Hypercubic Meshesnerate meshes with cracks, which can lead to discontinuities in functions defined on their domain. In this paper, we propose a dimension-independent triangulation algorithm based on regular simplex bisection to locally decompose adaptive hypercubic meshes into high quality simplicial complexes with guaranteed geometric and adaptivity constraints.
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