2022
DOI: 10.1007/s00170-022-10115-4
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An improved virtual metrology method in chemical vapor deposition systems via multitask gaussian processes and adaptive active learning

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Cited by 4 publications
(1 citation statement)
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“…The results of applying data-driven analytics and virtual learning technologies are crucial in optimizing resource provision and allocation, with valuable insights into the socioeconomic landscape [7,9,16]. By analyzing diverse datasets, including crime patterns, demographic information, and economic indicators, policymakers can make informed decisions to address specific challenges and allocate resources effectively.…”
Section: Resultsmentioning
confidence: 99%
“…The results of applying data-driven analytics and virtual learning technologies are crucial in optimizing resource provision and allocation, with valuable insights into the socioeconomic landscape [7,9,16]. By analyzing diverse datasets, including crime patterns, demographic information, and economic indicators, policymakers can make informed decisions to address specific challenges and allocate resources effectively.…”
Section: Resultsmentioning
confidence: 99%