Deep learning ensemble strategies in outcome-based education: the influence of ideology and politics on vocational training

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Information and Communication Technology
Published
2025-01-01
DOI
https://doi.org/10.1504/ijict.2025.10071435
Primary Topic
Higher Education Learning Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Deep learning ensemble strategies in outcome-based education: the influence of ideology and politics on vocational training

Qian Du, Xiaohua Wei, Huiyi Zhu, Dongfang Li et al.
International Journal of Information and Communication Technology
Higher Education Learning Practices
article

Deep learning ensemble strategies in outcome-based education: the influence of ideology and politics on vocational training

Qian Du, Xiaohua Wei, Huiyi Zhu, Dongfang Li, Hua Zhang
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Information and Communication TechnologyVol. 26(19)
Openalex Percentile: Top 88%
Higher Education Learning Practices
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