6,216 research outputs found
Hematological effects of Blastocystis hominis infection in male foreign workers in Taiwan.
No full textHofmeister anion effects on the formation of mesoporous silica using CTEABr as the pore-directing agent
No full textThe essential role of a poison center in handling an outbreak of barium carbonate poisoning
No full textShaanxi province (China), Cheng brothers on horseback in icy stream
No full textThe Cheng brothers at Ching-chien-hs. 1914.GrayscaleClapp Nitrate Negatives, Box
Inclusion of biological factors in parallel architecture NTCP model for radiation-induced liver disease
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The use of machine learning to identify the correctness of HS Code for the customs import declarations
No full textAs an increasing volume of international trade activities around the world, the amount of cross-boarder import declarations grows rapidly, resulting in an unprecedented scale of potentially fraudulent transactions, in particular false commodity code (e.g., HS Code). The incorrect HS Code will cause duty risk and adversely impact the revenue collection. Physical investigation by the customs administrations is impractical due to the substantial quantity of declarations. This paper provides an automatic approach by harnessing the power of machine learning techniques to relief the burden of customs targeting officers. We introduced a novel model based on the off-the-shelf embedding encoder to identify the correctness of HS Code without any human effort. Determining whether the HS Code is correctly matched with commodity description is a classification task, so the labelled data is typically required. However, the lack of gold standard labelled data sets in customs domain limits the development of supervised-based approach. Our model is developed by the unsupervised mechanism and trained on the unlabelled historical declaration records, which is robust and able to be smoothly adapted by the different customs administrations. Rather than typically classifying whether the HS Code is correct or not, our model predicts the score to indicate the degree of the HS Code being correct. We have evaluated our proposed model on the ground-truth data set provided by Dutch customs officers. Results show promising performance of 71% overall accuracy.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Information and Communication Technolog
HS-stability and complex products in involution semigroups
Full text linkWhen does the complex product of a given number of subsets of a group generate the same subgroup as their union? We answer this question in a more general form by introducing HS-stability and characterising the HS-stable involution subsemigroup generated by a subset of a given involution semigroup. We study HS-stability for the special cases of regular ∗-semigroups and commutative involution semigroups.</p
sj-docx-1-dhj-10.1177_20552076231205744 - Supplemental material for Machine learning approaches for predicting sleep arousal response based on heart rate variability, oxygen saturation, and body profiles
No full textSupplemental material, sj-docx-1-dhj-10.1177_20552076231205744 for Machine learning approaches for predicting sleep arousal response based on heart rate variability, oxygen saturation, and body profiles by Chih-Fan Kuo, Cheng-Yu Tsai, Wun-Hao Cheng, Wen-Hua Hs, Arnab Majumdar, Marc Stettler, Kang-Yun Lee, Yi-Chun Kuan, Po-Hao Feng, Chien-Hua Tseng, Kuan-Yuan Chen and
Jiunn-Horng Kang, Hsin-Chien Lee, Cheng-Jung Wu, Wen-Te Liu in DIGITAL HEALTH</p
Maintenance techniques for rechargeable battery using pulse charging
No full textAuthor name used in this publication: Cheng K. W. E.Author name used in this publication: Ho Y. L.Refereed conference paper2006-2007 > Academic research: refereed > Refereed conference paperVersion of RecordPublishedPublisher permissio
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