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pro vyhledávání: '"Scott Wahl"'
Autor:
Scott Wahl, John Sheppard
Publikováno v:
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA).
Autor:
Scott Wahlquist, Amir Ali
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8534 (2024)
The integration of LPBF printing technologies in various innovative applications relies on the resilience and reliability of parts and their quality. Reducing or eliminating the factors leading to defects in final parts is crucial to producing satisf
Externí odkaz:
https://doaj.org/article/2498ba58454942ecbd1b3f99307be1c3
Publikováno v:
ICMLA
An important aspect of social networks is the discovery and partitioning of the complex graphs into dense sub-networks referred to as communities. The goal of such partitioning is to find groups who have similar attributes or behaviors. In the realm
Publikováno v:
Applied Sciences, Vol 14, Iss 15, p 6718 (2024)
The integrative potential of LPBF-printed parts for various innovative applications depends upon the robustness and infallibility of the part quality. Eliminating or sufficiently reducing factors contributing to the formation of defects is an integra
Externí odkaz:
https://doaj.org/article/2ec87fa20eb94c3bb3915ffbedb036b0
Publikováno v:
Proceedings of the International Workshop on Machine Learning Technologies in Software Engineering.
Software engineering is a continually evolving discipline, wherein researchers and members of industry are working towards defining and refining what are known as "best practices." Best practices are the set of known correct engineering techniques th