Download the fantastic book titled Engineering of Additive Manufacturing Features for Data Driven Solutions written by Mutahar Safdar, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Engineering of Additive Manufacturing Features for Data Driven Solutions", which was released on 01 June 2023. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.
Summary of Engineering of Additive Manufacturing Features for Data Driven Solutions by Mutahar Safdar PDF
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.
Detail About Engineering of Additive Manufacturing Features for Data Driven Solutions PDF
- Author : Mutahar Safdar
- Publisher : Springer Nature
- Genre : Technology & Engineering
- Total Pages : 151 pages
- ISBN : 3031321545
- Release Date : 01 June 2023
- PDF File Size : 49,5 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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