Optimising multi-modal fusion with a tri-encoder tensor network for process applications

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.

Authors

Publication Details

Journal
International Journal of Simulation and Process Modelling
Published
2025-01-01
DOI
https://doi.org/10.1504/ijspm.2025.10071854
Primary Topic
Computational Physics and Python Applications
Type
article
Field-Weighted Citation Impact
0.00
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Optimising multi-modal fusion with a tri-encoder tensor network for process applications

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International Journal of Simulation and Process Modelling
Computational Physics and Python Applications
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Optimising multi-modal fusion with a tri-encoder tensor network for process applications

Kaiyi Zhao, Ruizhi Sun, Xiaoping Shi, Zeqiu Chen, Li Li, Jiayao Li
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 Simulation and Process ModellingVol. 1(1)
Openalex Percentile: Top 93%
Computational Physics and Python Applications
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