A novel deep learning prediction model for concrete dam displacements using interpretable mixed attention mechanism

Concrete arch dam behavior prediction using kernel-extreme learning machines considering thermal effect

(2021) Xi Liu et al.   Journal of Civil Structural Health Monitoring

Multiscale attention-based LSTM for ship motion prediction

(2021) Tao Zhang et al.   OCEAN ENGINEERING

Multivariate time series forecasting via attention-based encoder–decoder framework

(2020) Shengdong Du et al.   NEUROCOMPUTING

Coupling prediction model for long‐term displacements of arch dams based on long short‐term memory network

(2020) Wenju Liu et al.   Structural Control & Health Monitoring

Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process

(2020) Xianhui Yin et al.   ADVANCED ENGINEERING INFORMATICS

An optimized combination prediction model for concrete dam deformation considering quantitative evaluation and hysteresis correction

(2020) Qiubing Ren et al.   ADVANCED ENGINEERING INFORMATICS

A new ensemble deep learning approach for exchange rates forecasting and trading

(2020) Shaolong Sun et al.   ADVANCED ENGINEERING INFORMATICS

Prediction, monitoring, and interpretation of dam leakage flow via adaptative kernel extreme learning machine

(2020) Siyu Chen et al.   MEASUREMENT

Spatiotemporal hybrid model for concrete arch dam deformation monitoring considering chaotic effect of residual series

(2020) Bowen Wei et al.   ENGINEERING STRUCTURES

Prediction of long-term temperature effect in structural health monitoring of concrete dams using support vector machines with Jaya optimizer and salp swarm algorithms

(2019) Fei Kang et al.   ADVANCES IN ENGINEERING SOFTWARE

A comparative analysis of long-term concrete deformation models of a buttress dam

(2019) Lucas S. Ribeiro et al.   ENGINEERING STRUCTURES

Temperature effect modeling in structural health monitoring of concrete dams using kernel extreme learning machines

(2019) Fei Kang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Recognizing people’s identity in construction sites with computer vision: A spatial and temporal attention pooling network

(2019) Ran Wei et al.   ADVANCED ENGINEERING INFORMATICS

Attention-based recurrent neural networks for accurate short-term and long-term dissolved oxygen prediction

(2019) Yeqi Liu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Dam monitoring data analysis methods: A literature review

(2019) Bin Li et al.   Structural Control & Health Monitoring

Wavelet support vector machine-based prediction model of dam deformation

(2018) Huaizhi Su et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Statistical model optimized random forest regression model for concrete dam deformation monitoring

(2018) Bo Dai et al.   Structural Control & Health Monitoring

Describing Video With Attention-Based Bidirectional LSTM

(2018) Yi Bin et al.   IEEE Transactions on Cybernetics

Prediction of the intermediate block displacement of the dam crest using artificial neural network and support vector regression models

(2018) Mahmoud Mohammad Rezapour Tabari et al.   SOFT COMPUTING

A new distributed time series evolution prediction model for dam deformation based on constituent elements

(2018) Mingchao Li et al.   ADVANCED ENGINEERING INFORMATICS

A novel model of dam displacement based on panel data

(2017) Chenfei Shao et al.   Structural Control & Health Monitoring

Concrete dam deformation prediction model for health monitoring based on extreme learning machine

(2017) Fei Kang et al.   Structural Control & Health Monitoring

A self-tuning system for dam behavior modeling based on evolving artificial neural networks

(2016) B. Stojanovic et al.   ADVANCES IN ENGINEERING SOFTWARE

A Technical Review of Hydro-Project Development in China

(2016) Jinsheng Jia   Engineering

Data-Based Models for the Prediction of Dam Behaviour: A Review and Some Methodological Considerations

(2015) Fernando Salazar et al.   ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

Performance improvement method of support vector machine-based model monitoring dam safety

(2015) Huaizhi Su et al.   Structural Control & Health Monitoring

An empirical comparison of machine learning techniques for dam behaviour modelling

(2015) F. Salazar et al.   STRUCTURAL SAFETY

Development of support vector regression identification model for prediction of dam structural behaviour

(2014) Vesna Ranković et al.   STRUCTURAL SAFETY

Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models

(2011) J. Mata   ENGINEERING STRUCTURES

Monitoring of long-term static deformation data of Fei-Tsui arch dam using artificial neural network-based approaches

(2011) Ching-Yun Kao et al.   Structural Control & Health Monitoring