SUBJECT ANALYSIS OF COMPONENT PARTS OF SERIALS AND BOOKS IN THE NATIONAL LIBRARY OF SERBIA



Improving Low-Resource Chinese Named Entity Recognition Using Bidirectional Encoder Representation from Transformers and Lexicon Adapter

Due to their individual advantages, the integration of lexicon information and pre-trained models like BERT has been widely adopted in Chinese sequence labeling tasks.However, given their high demand for training data, efforts have been made to enhance their performance h22a4 transmission in low-resource scenarios.Currently, certain specialized dom

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Application of deep learning for semantic segmentation in robotic prostatectomy: Comparison of convolutional neural networks and visual transformers

Purpose: Semantic segmentation is a fundamental part of the surgical application of deep learning.Traditionally, segmentation in vision tasks has been performed using convolutional neural networks (CNNs), but the transformer architecture has recently been introduced and widely investigated.We aimed to investigate the performance of deep learning mo

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The ant genus Tetramorium Mayr in the Afrotropical region (Hymenoptera, Formicidae, Myrmicinae): synonymisation of Decamorium Forel under Tetramorium, and taxonomic revision of the T. decem species group

In this study we synonymise the genus Decamorium Forel under Tetramorium Mayr, revise the new T.decem species group by providing a diagnosis of the stone calf puller group, an illustrated identification key to species level, and worker-based species descriptions for all five species, which include diagnoses, discussions, images, and distribution ma

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