Engineering of additive manufacturing features for data-driven solutions : sources, techniques, pipelines, and applications
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 an...
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| Main Authors | , , , , |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Cham :
Springer,
2023.
|
| Series | SpringerBriefs in applied sciences and technology,
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9783031321542 3031321545 9783031321535 3031321537 |
| ISSN | 2191-5318 |
| Physical Description | 1 online resource (xv, 141 pages) : illustrations (some color). |
Cover
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| 001 | kn-on1381479855 | ||
| 003 | OCoLC | ||
| 005 | 20240717213016.0 | ||
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| 020 | |a 9783031321542 |q (electronic bk.) | ||
| 020 | |a 3031321545 |q (electronic bk.) | ||
| 020 | |z 9783031321535 | ||
| 020 | |z 3031321537 | ||
| 024 | 7 | |a 10.1007/978-3-031-32154-2 |2 doi | |
| 035 | |a (OCoLC)1381479855 |z (OCoLC)1381106391 | ||
| 100 | 1 | |a Safdar, Mutahar, |e author. | |
| 245 | 1 | 0 | |a Engineering of additive manufacturing features for data-driven solutions : |b sources, techniques, pipelines, and applications / |c Mutahar Safdar, Guy Lamouche, Padma Polash Paul, Gentry Wood, Yaoyao Fiona Zhao. |
| 264 | 1 | |a Cham : |b Springer, |c 2023. | |
| 300 | |a 1 online resource (xv, 141 pages) : |b illustrations (some color). | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a SpringerBriefs in applied sciences and technology, |x 2191-5318 | |
| 505 | 0 | |a Introduction -- Feature Engineering in AM -- Applications in Data-driven AM -- Analyzing AM Feature Spaces -- Challenges and Opportunities in AM Data Preparation -- Summary. | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a 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 of the status and future of data-driven AM technology. | ||
| 504 | |a Includes bibliographical references. | ||
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Additive manufacturing |x Data processing. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Lamouche, Guy, |e author. | |
| 700 | 1 | |a Paul, Padma Polash, |e author. | |
| 700 | 1 | |a Wood, Gentry, |e author. | |
| 700 | 1 | |a Zhao, Yaoyao Fiona, |e author. |1 https://orcid.org/0000-0003-4927-0514 | |
| 776 | 0 | 8 | |c Original |z 3031321537 |z 9783031321535 |w (OCoLC)1374814739 |
| 830 | 0 | |a SpringerBriefs in applied sciences and technology, |x 2191-5318 | |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpEAMFDDS1/engineering-of-additive?kpromoter=marc |y Full text |