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Multi-source heterogeneous data fusion and intelligent prediction modeling for chemical engineering construction projects based on improved transformer architecture

Crossref DOI link: https://doi.org/10.1038/s41598-025-22752-2

Published Online: 2025-11-05

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Xin, Dongfeng
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Text and Data Mining valid from 2025-11-05

Version of Record valid from 2025-11-05
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Article History

Received: 11 August 2025

Accepted: 30 September 2025

First Online: 5 November 2025

Declarations

:

: The authors declare no competing interests.

: This study was conducted in accordance with institutional ethical guidelines for industrial data research. The research involved analysis of operational data from chemical engineering construction projects with all proprietary and sensitive information anonymized prior to analysis. No human subjects were directly involved in this study. The data collection and analysis procedures were reviewed and approved by the internal research ethics committee of Huajin Aramco Petrochemical Company Limited (Approval Reference: HAPC-2024-IRB-07). All data handling procedures complied with relevant industrial data protection standards and organizational confidentiality requirements.

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