Rock mass type prediction for tunnel boring machine using a novel semi-supervised method

A field parameters-based method for real-time wear estimation of disc cutter on TBM cutterhead

(2021) Honggan Yu et al.   AUTOMATION IN CONSTRUCTION

DTCNNMI: A deep twin convolutional neural networks with multi-domain inputs for strongly noisy diesel engine misfire detection

(2021) Chengjin Qin et al.   MEASUREMENT

A Semi-supervised Learning Approach for Calculation of Membrane Curvature Properties, with Application to Mitochondrial Model Membranes

(2020) Moeen Meigooni et al.   BIOPHYSICAL JOURNAL

A high-precision arrhythmia classification method based on dual fully connected neural network

(2020) Haoren Wang et al.   Biomedical Signal Processing and Control

Mahalanobis semi-supervised mapping and beetle antennae search based support vector machine for wind turbine rolling bearings fault diagnosis

(2020) Zhenya Wang et al.   RENEWABLE ENERGY

Actual bearing compound fault diagnosis based on active learning and decoupling attentional residual network

(2020) Yanrui Jin et al.   MEASUREMENT

Optimization of support vector machine through the use of metaheuristic algorithms in forecasting TBM advance rate

(2020) Jian Zhou et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Precise cutterhead torque prediction for shield tunneling machines using a novel hybrid deep neural network

(2020) Chengjin Qin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Prediction of geological conditions for a tunnel boring machine using big operational data

(2019) Qianli Zhang et al.   AUTOMATION IN CONSTRUCTION

An ANN to Predict Ground Condition ahead of Tunnel Face using TBM Operational Data

(2019) Jee-Hee Jung et al.   KSCE Journal of Civil Engineering

Process monitoring using variational autoencoder for high-dimensional nonlinear processes

(2019) Seulki Lee et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Improved support vector regression models for predicting rock mass parameters using tunnel boring machine driving data

(2019) Bin Liu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Supervised Machine Learning Techniques to the Prediction of Tunnel Boring Machine Penetration Rate

(2019) Hai Xu et al.   Applied Sciences-Basel

Performance prediction of tunnel boring machine through developing high accuracy equations: A case study in adverse geological condition

(2019) Masoud Samaei et al.   MEASUREMENT

Application and outlook of information and intelligence technology for safe and efficient TBM construction

(2019) Jianbin Li et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

The art of using t-SNE for single-cell transcriptomics

(2019) Dmitry Kobak et al.   Nature Communications

Forecasting of TBM advance rate in hard rock condition based on artificial neural network and genetic programming techniques

(2019) Jian Zhou et al.   Bulletin of Engineering Geology and the Environment

Prediction of rock mass parameters in the TBM tunnel based on BP neural network integrated simulated annealing algorithm

(2019) B. Liu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Dynamic load prediction of tunnel boring machine (TBM) based on heterogeneous in-situ data

(2018) Wei Sun et al.   AUTOMATION IN CONSTRUCTION

Monitor-While-Drilling-based estimation of rock mass rating with computational intelligence: The case of tunnel excavation front

(2018) M. Galende-Hernández et al.   AUTOMATION IN CONSTRUCTION

State-of-the-art predictive modeling of TBM performance in changing geological conditions through gene expression programming

(2018) Masoud Zare Naghadehi et al.   MEASUREMENT

An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder

(2018) Changqing Shen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

k -means clustering with outlier removal

(2017) Guojun Gan et al.   PATTERN RECOGNITION LETTERS

Determining the Particle Size of Debris from a Tunnel Boring Machine Through Photographic Analysis and Comparison Between Excavation Performance and Rock Mass Properties

(2017) A. Rispoli et al.   ROCK MECHANICS AND ROCK ENGINEERING

A case study of TBM performance prediction using a Chinese rock mass classification system – Hydropower Classification (HC) method

(2017) Quansheng Liu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Development of hybrid intelligent models for predicting TBM penetration rate in hard rock condition

(2017) Danial Jahed Armaghani et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

An overview of ahead geological prospecting in tunneling

(2017) Shucai Li et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Model tree approach for predicting uniaxial compressive strength and Young’s modulus of carbonate rocks

(2016) Ebrahim Ghasemi et al.   Bulletin of Engineering Geology and the Environment

Stacked Autoencoder-based deep learning for remote-sensing image classification: a case study of African land-cover mapping

(2016) Weijia Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Prediction of the uniaxial compressive strength of sandstone using various modeling techniques

(2016) Danial Jahed Armaghani et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

Auto-encoder based dimensionality reduction

(2016) Yasi Wang et al.   NEUROCOMPUTING

Application and development of hard rock TBM and its prospect in China

(2016) Quansheng Liu et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

TBM tunnelling under adverse geological conditions: An overview

(2016) Qiuming Gong et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Prediction of uniaxial compressive strength of rock samples using hybrid particle swarm optimization-based artificial neural networks

(2015) Ehsan Momeni et al.   MEASUREMENT

A New Method for Improving the RQD Determination of Rock Core in Borehole

(2015) Abdolazim Azimian   ROCK MECHANICS AND ROCK ENGINEERING

Markovian geology prediction approach and its application in mountain tunnels

(2012) Zhenchang Guan et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Probabilistic prediction of tunnel geology using a Hybrid Neural-HMM

(2011) Sou-Sen Leu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Microtunneling decision support system (MDS) using Neural-Autoregressive Hidden Markov Model

(2010) Sou-Sen Leu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Electro-hydraulic proportional control of thrust system for shield tunneling machine

(2009) Yang Huayong et al.   AUTOMATION IN CONSTRUCTION

Expectation of boulder frequency when tunneling in glacial till: A statistical approach based on transition probability

(2009) Fabrizio Felletti et al.   ENGINEERING GEOLOGY

TBM Performance Analysis in Pyroclastic Rocks: A Case History of Karaj Water Conveyance Tunnel

(2009) J. Hassanpour et al.   ROCK MECHANICS AND ROCK ENGINEERING

Correlation of tunnel convergence with TBM operational parameters and chip size in the Ghomroud tunnel, Iran

(2008) Ebrahim Farrokh et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY