| 书目名称 | Engineering of Additive Manufacturing Features for Data-Driven Solutions | | 副标题 | Sources, Techniques, | | 编辑 | Mutahar Safdar,Guy Lamouche,Yaoyao Fiona Zhao | | 视频video | | | 概述 | A comprehensive introduction to data-driven additive manufacturing (AM).Covers all data sources and parts of the AM process.Updates readers with the current challenges and future directions | | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 描述 | .This book is a comprehensive guide to the latest developments in data-driven additive manufacturing (AM). From data mining and pre-processing to signal processing, computer vision, and more, the book covers all the essential techniques for preparing AM data. Readers willl explore the key physical and synthetic sources of AM data throughout the life cycle of the process and learn about feature engineering techniques, pipelines, and resulting features, as well as their applications at each life cycle phase. With a focus on featurization efforts from reviewed literature, this book offers tabular summaries for major data sources and analyzes feature spaces at the design, process, and structure phases of AM to uncover trends and insights specific to feature engineering techniques. Finally, the book discusses current challenges and future directions, 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.. | | 出版日期 | Book 2023 | | 关键词 | Data-driven Additive Manufacturing; Feature Engineering; Data Preparation and Preprocessing; Raw Data T | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-32154-2 | | isbn_softcover | 978-3-031-32153-5 | | isbn_ebook | 978-3-031-32154-2Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | Crown 2023 |
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发表于 2025-3-21 17:43:35
