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Titlebook: Rotating Machinery, Hybrid Test Methods, Vibro-Acoustics & Laser Vibrometry, Volume 8; Proceedings of the 3 James De Clerck,David S. Epp Co

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Garrison N. Stevens,Kendra L. Van Buren,Eric B. Flynn,Sez Atamturktur,Jung-Ryul Lee addition, a more detailed analysis of five aspects, including total population, energy consumption, and national income, shows that the best time to implement the carbon tax policy is when the damage degree of COVID-19 is moderate. The analysis results can provide a reference and basis for China to
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Dario Di Maioies: ., ., ., ., ., 4 types of relations for composing variants, and 4 types of relations for representing semantics between variants and variants. Further, we developed an information extraction system that had two modules: (1) cascade extraction module based on the pre-trained model BERT, includin
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Markus J. Hochraineries: ., ., ., ., ., 4 types of relations for composing variants, and 4 types of relations for representing semantics between variants and variants. Further, we developed an information extraction system that had two modules: (1) cascade extraction module based on the pre-trained model BERT, includin
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Jason R. Bloughing the harmful noise from useless sentences of original clinical text. Moreover, the results show that the multi-rule ensembler based medical feature word efficiently solves the problem of Chinese medical entities de-duplication and boundary ambiguity.
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Anders Brandt,Christopher Kjæruning the pre-trained model, it can perform well in many downstream tasks. However, such approach is still limited in the specific context by 1) the language and context in which the encoder and decoder are pre-trained; 2) the image input size of the pre-trained encoder. In view of the above two pro
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Carlo Rainieri,Giovanni Fabbrocinouning the pre-trained model, it can perform well in many downstream tasks. However, such approach is still limited in the specific context by 1) the language and context in which the encoder and decoder are pre-trained; 2) the image input size of the pre-trained encoder. In view of the above two pro
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James P. De Clerck,Jean S. De Clerckf target fields..To achieve the above goals, we propose a knowledge-based multi-modal and multi-architecture medical voucher information extraction method, namely TripleMIE, which includes I2SM: Image to sequence model, L-SPN: Large scale PLM-based span prediction net, MMIE: multi-modal information
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Nobuyuki Okubo,Naoaki Iwanaga,Takeshi Toiuning the pre-trained model, it can perform well in many downstream tasks. However, such approach is still limited in the specific context by 1) the language and context in which the encoder and decoder are pre-trained; 2) the image input size of the pre-trained encoder. In view of the above two pro
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