相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring
Zhiyi Tang et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)
A hybrid method coupling empirical mode decomposition and a long short-term memory network to predict missing measured signal data of SHM systems
Linchao Li et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)
An Improved LightGBM Algorithm for Online Fault Detection of Wind Turbine Gearboxes
Mingzhu Tang et al.
ENERGIES (2020)
Dam monitoring data analysis methods: A literature review
Bin Li et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2020)
Coupling prediction model for long-term displacements of arch dams based on long short-term memory network
Wenju Liu et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2020)
A Lag-FLSTM deep learning network based on Bayesian Optimization for multi-sequential-variant PM2.5 prediction
Jun Ma et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
The Prediction of Dam Displacement Time Series Using STL, Extra-Trees, and Stacked LSTM Neural Network
Yangtao Li et al.
IEEE ACCESS (2020)
Rapid Prediction of Respiratory Motion Based on Bidirectional Gated Recurrent Unit Network
Shumei Yu et al.
IEEE ACCESS (2020)
Structural health monitoring of concrete dams using long-term air temperature for thermal effect simulation
Fei Kang et al.
ENGINEERING STRUCTURES (2019)
The State of the Art of Data Science and Engineering in Structural Health Monitoring
Yuequan Bao et al.
ENGINEERING (2019)
Vibration-based structural state identification by a 1-dimensional convolutional neural network
Youqi Zhang et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2019)
A vision-based method for crack detection in gusset plate welded joints of steel bridges using deep convolutional neural networks
Cao Vu Dung et al.
AUTOMATION IN CONSTRUCTION (2019)
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
Cheng Chen et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2019)
One dimensional convolutional neural network architectures for wind prediction
Shubhi Harbola et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Sensor data reconstruction using bidirectional recurrent neural network with application to bridge monitoring
Seongwoon Jeong et al.
ADVANCED ENGINEERING INFORMATICS (2019)
Improving air quality prediction accuracy at larger temporal resolutions using deep learning and transfer learning techniques
Jun Ma et al.
ATMOSPHERIC ENVIRONMENT (2019)
A novel distribution regression approach for data loss compensation in structural health monitoring
Zhicheng Chen et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2018)
Statistical modelling of thermal displacements for concrete dams: Influence of water temperature profile and dam thickness profile
M. Tatin et al.
ENGINEERING STRUCTURES (2018)
Statistical model optimized random forest regression model for concrete dam deformation monitoring
Bo Dai et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2018)
Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations
Fernando Salazar et al.
ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2017)
Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
Turker Ince et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Method for Choosing the Optimal Resource in Back-Analysis for Multiple Material Parameters of a Dam and Its Foundation
Huaizhi Su et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2016)
Thermal displacements of concrete dams: Accounting for water temperature in statistical models
M. Tatin et al.
ENGINEERING STRUCTURES (2015)
An empirical comparison of machine learning techniques for dam behaviour modelling
F. Salazar et al.
STRUCTURAL SAFETY (2015)
Constructing statistical models for arch dam deformation
Juan Mata et al.
STRUCTURAL CONTROL & HEALTH MONITORING (2014)
Monitoring Model for Dam Seepage Based on Lag Effect
Shaowei Wang et al.
ADVANCES IN CIVIL AND INDUSTRIAL ENGINEERING, PTS 1-4 (2013)
Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models
J. Mata
ENGINEERING STRUCTURES (2011)
分享论文
