Neutron spectrum unfolding of the multiple activation foils based on sparse representation
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DOI: 10.1016/j.anucene.2019.106947
Abstract: Abstract An unfolding method based on sparse representation is proposed and applied to unfolding problem of multiple activation foils measurement. The Online Dictionary Learning (ODL) algorithm is applied for sparse representation. The algorithm LARS-EN is… read more here.
Keywords: representation; multiple activation; activation foils; based sparse ... See more keywords
Multiple Activation Functions and Data Augmentation-Based Lightweight Network for In Situ Tool Condition Monitoring
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DOI: 10.1109/tie.2021.3139202
Abstract: Intelligent manufacturing raises higher requirements for tool condition monitoring (TCM) in terms of accuracy, robustness, and adaptability. At present, direct methods based on image processing and deep learning have made breakthroughs in TCM. However, some… read more here.
Keywords: condition monitoring; lightweight network; network; multiple activation ... See more keywords