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GPyro: uncertainty-aware temperature predictions for additive manufacturing
Author(s) -
Iason Sideris,
Francesco Crivelli,
Markus Bambach
Publication year - 2022
Publication title -
journal of intelligent manufacturing
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.271
H-Index - 79
eISSN - 1572-8145
pISSN - 0956-5515
DOI - 10.1007/s10845-022-02019-7
Subject(s) - probabilistic logic , computer science , gaussian process , kriging , process (computing) , parametric statistics , set (abstract data type) , quality (philosophy) , industrial engineering , machine learning , gaussian , artificial intelligence , engineering , mathematics , philosophy , statistics , physics , epistemology , quantum mechanics , programming language , operating system

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