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Titlebook: Loa loa: Latest Advances in Loiasis Research; Jean Paul Akue Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive li

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發(fā)表于 2025-3-26 22:46:31 | 只看該作者
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發(fā)表于 2025-3-27 02:22:27 | 只看該作者
Algorithmic Trading Using Deep Neural Networks on High Frequency Dataar minute. The DNN predicts the next one-minute pseudo-return, this output is later transformed to obtain a the next predicted one-minute average price. This price is used to build a high-frequency trading strategy that buys (sells) when the next predicted average price is above (below) the last closing price.
33#
發(fā)表于 2025-3-27 05:34:14 | 只看該作者
Evolutionary Computing Applied to Solve Some Operational Issues in Banks,se they yield global or near-global optimal results. We survey most of the works reported in this space starting from 1998 to 2016. While the application of ESO techniques to solve the business issues is well-documented, the same on the operational issues is very relevant.
34#
發(fā)表于 2025-3-27 12:39:47 | 只看該作者
Kompendium der Soziologie I: Grundbegriffee to conduct highly detailed comparative, integrative, functional and translational genomics studies that define: (1) the complex milieu of intrinsic and extrinsic factors that interact to drive caste differentiation (including genetic and environmental factors), (2) how genes used in solitary life
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發(fā)表于 2025-3-27 15:06:50 | 只看該作者
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發(fā)表于 2025-3-27 21:50:25 | 只看該作者
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發(fā)表于 2025-3-28 00:21:20 | 只看該作者
Jan Philipp Klein,Eva Margaretha Kleinchieved a density of hard core information that will long stay unsurpassed and that is invaluable for application and for all practicians, engineers and scientists, which are working in this field..978-3-540-45660-5Series ISSN 1615-1844 Series E-ISSN 1616-9522
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發(fā)表于 2025-3-28 04:12:41 | 只看該作者
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發(fā)表于 2025-3-28 07:48:13 | 只看該作者
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發(fā)表于 2025-3-28 13:43:22 | 只看該作者
definitions, historical background, key applications, and biThis authoritative, expanded and updated second edition of .Encyclopedia of Machine Learning and Data Mining .provides easy access to core information for those seeking entry into any aspect within the broad field of Machine Learning and Da
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