Prediction of retaining structure deformation of ultra-deep foundation pit by empirical mode decomposition with recurrent neural networks

Deep learning-based obstacle-avoiding autonomous UAVs with fiducial marker-based localization for structural health monitoring

(2023) Ali Waqas et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A LightGBM-based strategy to predict tunnel rockmass class from TBM construction data for building control

(2023) Long Li et al.   ADVANCED ENGINEERING INFORMATICS

Prediction of TBM cutterhead speed and penetration rate for high-efficiency excavation of hard rock tunnel using CNN-LSTM model with construction big data

(2022) Long Li et al.   Arabian Journal of Geosciences

Hard-rock tunnel lithology prediction with TBM construction big data using a global-attention-mechanism-based LSTM network

(2021) Zaobao Liu et al.   AUTOMATION IN CONSTRUCTION

Prediction of stratum deformation during the excavation of a foundation pit in composite formation based on the artificial bee colony–back-propagation model

(2021) Tugen Feng et al.   ENGINEERING OPTIMIZATION

A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data

(2021) Zhengjing Ma et al.   NEURAL COMPUTING & APPLICATIONS

Observed performance of a 30.2 m deep-large basement excavation in Hangzhou soft clay

(2021) Kang Cheng et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Effect of Modified Deformed Steel Fiber on Mechanical Properties of Artificial Granite

(2021) Xuetao Qiao et al.   Advances in Civil Engineering

A new prediction method for surface settlement of deep foundation pit in pelagic division based on Elman-Markov model

(2021) Yubao Zhan et al.   Arabian Journal of Geosciences

Predicting rock displacement in underground mines using improved machine learning-based models

(2021) Ning Li et al.   MEASUREMENT

Measurement and prediction of tunnelling-induced ground settlement in karst region by using expanding deep learning method

(2021) Ning Zhang et al.   MEASUREMENT

Multi-kernel optimized relevance vector machine for probabilistic prediction of concrete dam displacement

(2020) Siyu Chen et al.   ENGINEERING WITH COMPUTERS

Research on tunnel engineering monitoring technology based on BPNN neural network and MARS machine learning regression algorithm

(2020) Jianbo Fei et al.   NEURAL COMPUTING & APPLICATIONS

A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction

(2020) J. J. Ruiz-Aguilar et al.   NEURAL COMPUTING & APPLICATIONS

The deformation monitoring of foundation pit by back propagation neural network and genetic algorithm and its application in geotechnical engineering

(2020) Jie Luo et al.   PLoS One

A robust time series prediction method based on empirical mode decomposition and high-order fuzzy cognitive maps

(2020) Zongdong Liu et al.   KNOWLEDGE-BASED SYSTEMS

Improved EMD-Based Complex Prediction Model for Wind Power Forecasting

(2020) Oveis Abedinia et al.   IEEE Transactions on Sustainable Energy

Study on settlement prediction model of deep foundation pit in sand and pebble strata based on grey theory and BP neural network

(2020) Yan Lv et al.   Arabian Journal of Geosciences

Forecasting sidewall displacement of underground caverns using machine learning techniques

(2020) Arsalan Mahmoodzadeh et al.   AUTOMATION IN CONSTRUCTION

Stock price prediction using deep learning and frequency decomposition

(2020) Hadi Rezaei et al.   EXPERT SYSTEMS WITH APPLICATIONS

Developing new tree expression programing and artificial bee colony technique for prediction and optimization of landslide movement

(2019) Zhenyan Luo et al.   ENGINEERING WITH COMPUTERS

Application of optimized grey discrete Verhulst–BP neural network model in settlement prediction of foundation pit

(2019) Chuang Zhang et al.   Environmental Earth Sciences

Empirical decomposition of seismic response of soft soils

(2019) S.R. Garcia et al.   SOIL DYNAMICS AND EARTHQUAKE ENGINEERING

Nonlinear Dynamic Soft Sensor Modeling With Supervised Long Short-Term Memory Network

(2019) Xiaofeng Yuan et al.   IEEE Transactions on Industrial Informatics

Autonomous UAVs for Structural Health Monitoring Using Deep Learning and an Ultrasonic Beacon System with Geo-Tagging

(2018) Dongho Kang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Foundation pit displacement monitoring and prediction using least squares support vector machines based on multi-point measurement

(2018) Xiao Li et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

(2018) Erhao Meng et al.   JOURNAL OF HYDROLOGY

Research on Slope Deformation Prediction Based on Fractional-Order Calculus Gray Model

(2018) Li Li et al.   Advances in Civil Engineering

A review and discussion of decomposition-based hybrid models for wind energy forecasting applications

(2018) Zheng Qian et al.   APPLIED ENERGY

Predicting Safety Risks in Deep Foundation Pits in Subway Infrastructure Projects: Support Vector Machine Approach

(2017) Ying Zhou et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Empirical mode decomposition based denoising method with support vector regression for time series prediction: A case study for electricity load forecasting

(2017) Yusuf Yaslan et al.   MEASUREMENT

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

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

A multi-variable grey model with a self-memory component and its application on engineering prediction

(2015) Xiaojun Guo et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

Monthly streamflow prediction using modified EMD-based support vector machine

(2014) Shengzhi Huang et al.   JOURNAL OF HYDROLOGY

An extreme learning machine approach for slope stability evaluation and prediction

(2014) Zaobao Liu et al.   NATURAL HAZARDS

Predicting dynamic deformation of retaining structure by LSSVR-based time series method

(2014) Zhiwei Ji et al.   NEUROCOMPUTING

Comparison on landslide nonlinear displacement analysis and prediction with computational intelligence approaches

(2013) Zaobao Liu et al.   Landslides

Improving prediction of exchange rates using Differential EMD

(2012) Bhusana Premanode et al.   EXPERT SYSTEMS WITH APPLICATIONS

An optimization based empirical mode decomposition scheme

(2012) Boqiang Huang et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Estimation of pressuremeter modulus and limit pressure of clayey soils by various artificial neural network models

(2012) C. H. Aladag et al.   NEURAL COMPUTING & APPLICATIONS

Damage detection in an experimental bridge model using Hilbert-Huang transform of transient vibrations

(2011) Anshuman Kunwar et al.   Structural Control & Health Monitoring

On the Importance of the Pearson Correlation Coefficient in Noise Reduction

(2008) J. Benesty et al.   IEEE Transactions on Audio Speech and Language Processing