Structural deformation prediction model based on extreme learning machine algorithm and particle swarm optimization

Extreme learning machine: Theory and applications

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Structural displacement monitoring using deep learning-based full field optical flow methods

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Structural health monitoring with statistical methods during progressive damage test of S101 Bridge

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

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Punching shear capacity estimation of FRP-reinforced concrete slabs using a hybrid machine learning approach

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Prediction of the crack condition of highway pavements using machine learning models

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Nondestructive identification of multiple flaws using XFEM and a topologically adapting artificial bee colony algorithm

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Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis

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Simulating pavement structural condition using artificial neural networks

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Use of deformation monitoring results in solving geomechanical problems—case studies

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Application of an artificial immune algorithm on a statistical model of dam displacement

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Modified dam deformation monitoring model considering periodic component contained in residual sequence

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VAE-TALSTM: a temporal attention and variational autoencoder-based long short-term memory framework for dam displacement prediction

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Improved online sequential extreme learning machine for identifying crack behavior in concrete dam

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Deep kernel learning in extreme learning machines

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Statistical approach to damage diagnosis of concrete dams by radar monitoring: Formulation and a pseudo-experimental test

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Statistical modelling for high arch dam deformation during the initial impoundment period

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Modeling method for predicting seepage of RCC dams considering time-varying and lag effect

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Evaluation and modelling of permanent deformation behaviour of asphalt mixtures using dynamic creep test in uniaxial mode

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Condition evaluation for existing reinforced concrete bridge superstructure using fuzzy clustering improved by particle swarm optimisation

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Dam Safety Analysis Based on Stepwise Regression Model

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Hybrid hydraulic‐seasonal‐time model for predicting the deformation behaviour of high concrete dams during the operational period

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Study on dynamic performance of a three-dimensional high frame supported U-shaped aqueduct

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Modelling the relationship between water level and vertical displacements on the Yamula Dam, Turkey

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Effective Crack Damage Detection Using Multilayer Sparse Feature Representation and Incremental Extreme Learning Machine

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Chaotic time series prediction based on robust extreme learning machine

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Numerical Investigation of the Failure Mechanism of Articulated Aqueduct

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A numerical research on the aqueduct hydrodynamic pressure from earthquakes

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Effects of Environmental and Operational Conditions on Structural Health Monitoring and Non-Destructive Testing: A Systematic Review

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Forecast Error Calculation with Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE)

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LSTM과 GRU 딥러닝 IoT 파워미터 기반의 단기 전력사용량 예측

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A Machine-Learning Approach to Time Series Forecasting of Temperature

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Short-Term Electrical Load Forecasting of 150 kV Ternate System Using Optimally Pruned Extreme Learning Machine (OPELM)

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Combining LSTM and CNN methods and fundamental analysis for stock price trend prediction

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