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). |