portada Engineering of Additive Manufacturing Features for Data-Driven Solutions: Sources, Techniques, Pipelines, and Applications (en Inglés)

Engineering of Additive Manufacturing Features for Data-Driven Solutions: Sources, Techniques, Pipelines, and Applications (en Inglés)

Formato

Libro Físico

Autor

Editorial

Idioma

Inglés

N° páginas

141

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x0.9 cm

Peso

0.23 kg.

ISBN13

9783031321535

Categorías

Ciencia y análisis de datos: generalidades
Producción e ingeniería industrial
Análisis y captura de datos
Inteligencia artificial

Engineering of Additive Manufacturing Features for Data-Driven Solutions: Sources, Techniques, Pipelines, and Applications (en Inglés)

Mutahar Safdar (Autor) · Guy Lamouche (Autor) · Padma Polash Paul (Autor) · Springer · Tapa Blanda

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Reseña del libro "Engineering of Additive Manufacturing Features for Data-Driven Solutions: Sources, Techniques, Pipelines, and Applications (en Inglés)"

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.