Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems

Advanced hybrid LSTM-transformer architecture for real-time multi-task prediction in engineering systems

Abstract In the field of engineering systems—particularly in underground drilling and green stormwater management—real-time predictions are vital for enhancing operational performance, ensuring safety, and increasing efficiency. Addressing this niche, our study introduces a novel LSTM-transformer hy...

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Bibliographic Details
Main Authors: Kangjie Cao, Ting Zhang, Jueqiao Huang
Format: Article
Language:English
Published: Nature Portfolio 2024-02-01
Series:Scientific Reports
Subjects:
LSTM-transformer hybrid architecture
Real-time predictions
Engineering systems
Underground drilling
Green stormwater management
Multi-task learning
Online Access:https://doi.org/10.1038/s41598-024-55483-x

Internet

https://doi.org/10.1038/s41598-024-55483-x

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