A service-oriented framework for large-scale documents processing and application via 3D models and feature extraction-Reference-Cited by-同舟云学术

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A service-oriented framework for large-scale documents processing and application via 3D models and feature extraction

Published:2024-05 Issue: Volume:133 Page:102903
ISSN:1569-190X
Container-title:Simulation Modelling Practice and Theory
language:en
Short-container-title:Simulation Modelling Practice and Theory

Author:

Chen Qiang,Chen Yinong^ORCID,Zhan Cheng,Chen Wu,Zhang Zili^ORCID,Wu Sheng

Publisher

Elsevier BV

Reference38 articles.

1. Deep learning for opinion mining and topic classification of course reviews;Koufakou;Educ. Inf. Technol.,2023

2. ProbSAP: a comprehensive and high-performance system for student academic performance prediction;Wang;Pattern. Recognit.,2023

3. Educational big data: predictions, applications and challenges;Bai;Big Data Res.,2021

4. A spark-based open source framework for large-scale parallel processing of rich text documents;Chen,2021

5. Exsense: extract sensitive information from unstructured data;Guo;Comput. Secur.,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge graph-based Bayesian network risk assessment model for hydrogen accidents;International Journal of Hydrogen Energy;2024-09

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