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    An Adaptive and Cost-Sensitive Learning Model for False Alarm Reduction in IDSs

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    Using decision tree and long short-term memory recurrent neural networks to assist in the adjustment parameters of die/wire bonding and quality prediction
    • Department of Industrial Management /106/ Master
    • Author: OU YANG,CHIN HUI Advisor: Chao Ou-Yang
    • During the assembly process of LED components, die bonding and wire bonding are the key factors…
    • Clicks: 469Downloads: 0
    • Full text public date 2023/07/10 (Intranet public)
    • Full text public date This full text is not authorized to be published. (Internet public)
    • Full text public date This full text is not authorized to be published. (National library)
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