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Zhengfeng Yang

Dados Biográficos

ID9659875
NOMEZhengfeng Yang
PRENOMESZhengfeng
SOBRENOMEYang
ASSINATURAYANG Z
AFILIAÇÕESHanyang University
ORCID0000-0001-6316-1723
VERIFICADOSim
TOTAL DE OBRAS2
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR2
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2026
ÍNDICE H0
  • The affective pathway of AI adoption

    Open Access•Y Zhang, Yunhao Zhang et al.•ARTICLE•Current Psychology•2026

  • Improvement of Oracle Bone Inscription Recognition Accuracy

    Xuanming Fu, Zhengfeng Yang et al.

    Deep learning techniques have been successfully applied in handwriting recognition. Oracle bone inscriptions (OBI) are the earliest hieroglyphs in China and valuable resources for studying the etymology of Chinese characters. OBI are of important historical and cultural value in China; thus, textual research surrounding the characters of OBI is a huge challenge for archaeologists. In this work, we built a dataset named OBI-100, which contains 100…

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  • The affective pathway of AI adoption

    Open Access•Y Zhang, Yunhao Zhang et al.•ARTICLE•Current Psychology•2026

  • Improvement of Oracle Bone Inscription Recognition Accuracy

    Xuanming Fu, Zhengfeng Yang et al.

    Deep learning techniques have been successfully applied in handwriting recognition. Oracle bone inscriptions (OBI) are the earliest hieroglyphs in China and valuable resources for studying the etymology of Chinese characters. OBI are of important historical and cultural value in China; thus, textual research surrounding the characters of OBI is a huge challenge for archaeologists. In this work, we built a dataset named OBI-100, which contains 100…

Artificial Intelligence (1 obra) · Computer Science (1 obra) · Convolutional neural network (1 obra) · Deep learning (1 obra) · Digital Games and Media (1 obra) · Economic Justice (1 obra) · Educational Games and Gamification (1 obra) · Emotional intelligence (1 obra) · Engineering (1 obra) · Handwriting (1 obra)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae