Deep learning model for the deformation prediction of concrete dams under multistep and multifeature inputs based on an improved autoformer-Reference-Cited by-同舟云学术

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Deep learning model for the deformation prediction of concrete dams under multistep and multifeature inputs based on an improved autoformer

Published:2024-11 Issue: Volume:137 Page:109109
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Tian Kun,Yang Jie,Cheng Lin^ORCID

Publisher

Elsevier BV

Reference52 articles.

1. Longformer: the Long-Document Transformer;Beltagy,2020

2. Spatio-temporal wind speed forecasting using graph networks and novel Transformer architectures;Bentsen;Appl. Energy,2023

3. Optimized deformation monitoring models of concrete dam considering the uncertainty of upstream and downstream surface temperatures;Bowen;Eng. Struct.,2023

4. Bootstrap aggregation with Christiano–Fitzgerald random walk filter for fault prediction in power systems;Branco;Electrical Engineering,2024

5. A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites;Cai;Adv. Eng. Inf.,2020

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