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    A Flexible and Accurate Additive Manufacturing Data Retrieval Method Based on Probabilistic Modeling and Transformation-Invariant Feature Learning 

    Source: Journal of Computing and Information Science in Engineering:;2024:;volume( 024 ):;issue: 008:;page 81005-1
    Author(s): Fang, Qihang; Xiong, Gang; Wang, Weixing; Shen, Zhen; Dong, Xisong; Wang, Fei-Yue
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Additive manufacturing (AM) is gaining prominence across numerous fields, which involves the generation of extensive data at each process stage. A relational database is a useful tool to store such AM data and streamline ...
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