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Titlebook: Engineering of Additive Manufacturing Features for Data-Driven Solutions; Sources, Techniques, Mutahar Safdar,Guy Lamouche,Yaoyao Fiona Zha

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Feature Engineering in Additive Manufacturing,introduced and discussed. The sources of AM features are introduced in terms of their nature, properties, information variation, and digital representation. A comprehensive introduction to feature engineering techniques for AM is made, which are divided into five broad categories, namely subset sele
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2191-530X tions, including AI/ML/DL readiness of AM data...Whether you‘re an expert or newcomer to the field, this book provides a broader summary ofthe status and future of data-driven AM technology..978-3-031-32153-5978-3-031-32154-2Series ISSN 2191-530X Series E-ISSN 2191-5318
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Transcriptional Regulation of Platelet-Activating Factor Receptor Gene Expression in Leukocytes,f biological activities via binding to specific receptors present on the surface of many types of cells, including platelets, neutrophils, monocytes, eosinophils, lymphocytes, vascular endothelial cells and smooth muscle cells. A PAF receptor cDNA was first cloned from guinea pig lung by Honda et.al
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Partial Characterization of the Secretory Products of the Subcommissural Organmann 1968; Diederen 1970); most probably it represents N-linked complex-type glycoproteins (Meiniel and Meiniel 1985; Meiniel et al. 1986, 1988; Rodríguez et al. 1986, 1987, 1990; Herrera and Rodríguez 1990). The immunocytochemical study of the bovine SCO using antibodies raised against bovine Reiss
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Book 2015h them miniature galaxies bringing the entire Cosmos into my bathtub....Alfie is back. And so are George and other characters from the author’s previous book .Einstein’s Enigma or Black Holes in My Bubble Bath.. While the present book, .Universe Unveiled - The Cosmos in My Bubble Bath., is completel
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eils im historischen Kontext betrachtet werden müssen. Dieser Titel erschien in der Zeit vor 1945 und wird daher in seiner zeittypischen politisch-ideologischen Ausrichtung vom Verlag nicht beworben.978-3-642-49541-0978-3-642-49832-9
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Multimodal Segmentation with MGF-Net and the Focal Tversky Loss Functionk. We supervise our network with a variant of the focal Tversky loss function. Our architecture promotes explain-ability, light-weight CNN design and has achieved 0.687, 0.843 and 0.751 DSC scores on the BraTs 2019 test cohort which is competitive with the commonly used vanilla U-Net.
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