Titlebook: Advances in Manufacturing IV; Volume 4 - Measureme Magdalena Diering,Micha? Wieczorowski,Mukund Harug Conference proceedings 2024 The Edito

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https://doi.org/10.1007/978-3-322-98755-6eed are strongly correlated with surface characterization parameters. The presented analysis can contribute to better understanding of the formation process in SLM and to optimize the manufacturing processes to improve the surface quality of fabricated parts.

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Genetic Markers and Biotechnology,s of the conducted research, it was found that the quality of the machined surface, assessed by the 3D roughness parameters, is affected by the type of the tool holder used..The obtained results show that, when considering the obtained surface topography, it should be noted that not only the type of

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Clustering Aspects of Nuclear Structure principle involves training an algorithm on a comprehensive set of images, enabling swift surface assessment in series production inspections. The focus is on developing a procedure for the qualification of AI-based surface inspection systems, exemplified by surface roughness for inline measurement

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CONE

Cluster Structure of Light Nucleicoustic structure of the songs, which can be useful for pattern detection and analysis of audio signals. It is expected that, after applying the pre-trained models VGGish and YAMNet in predicting audios from a custom model trained with these songs, one of the two pre-trained models will demonstrate

HIKE

Qualification of AI-Based Surface Topography Inspection Systems for Inline Measurement in Series Prlligence,artificial and e-economics, scientific discovery and knowledge extraction. This book will be of interest to managers of businesses and institutions, policy makers, and educators and students of decisio978-981-10-9494-1978-981-10-1981-4

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