4.7 Article

An AIoT-based system for real-time monitoring of tunnel construction

Related references

Note: Only part of the references are listed.
Article Geosciences, Multidisciplinary

Intelligent modelling of clay compressibility using hybrid meta-heuristic and machine learning algorithms

Pin Zhang et al.

Summary: This study proposes a novel modeling approach using machine learning techniques to predict the compression index C c in geotechnical design, showing that machine learning models outperform traditional empirical prediction formulations. Among the tested machine learning algorithms, random forest and back-propagation neural network models are recommended for predicting C c under different conditions.

GEOSCIENCE FRONTIERS (2021)

Article Computer Science, Artificial Intelligence

The implementation to intelligent linkage service over AIoT hierarchical for material flow management

Joy Iong-Zong Chen

Summary: The article introduces a total solution implemented by AIoT techniques, focusing on intelligent linkage devices. It includes improving material flow management efficiency through flow tracking technology, strengthening autonomous management ability in factories with spatial distribution tools for chemical substances, and simplifying reporting management mechanisms in colleges and universities with a chemical substances management platform.

JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING (2021)

Article Automation & Control Systems

Cognitive Optimal-Setting Control of AIoT Industrial Applications With Deep Reinforcement Learning

Ying-Hsun Lai et al.

Summary: This article proposes a new expected advantage learning method to moderate the maximum value of expectation-based deep reinforcement learning for industrial applications. By replacing the sigmoid function with the tanh function as the softmax activation value, the proposed method successfully reduces the issue of numerical overfitting in cognitive computing.

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2021)

Article Construction & Building Technology

Risk Assessment Using a New Consulting Process in Fuzzy AHP

Hai-Min Lyu et al.

JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2020)

Article Construction & Building Technology

Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study

Pin Zhang et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)

Article Construction & Building Technology

Effect of particle shape on the progressive failure of shield tunnel face in granular soils by coupled FDM-DEM method

Zhen-Yu Yin et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)

Article Engineering, Geological

Straightforward prediction for air-entry value of compacted soils using machine learning algorithms

Han-Lin Wang et al.

ENGINEERING GEOLOGY (2020)

Article Construction & Building Technology

Recurrent neural networks for real-time prediction of TBM operating parameters

Xianjie Gao et al.

AUTOMATION IN CONSTRUCTION (2019)

Article Engineering, Geological

Dual in-filled trenches for vibration mitigation and their predictions using artificial neural network

Pubudu Jayawardana et al.

SOIL DYNAMICS AND EARTHQUAKE ENGINEERING (2019)

Article Engineering, Civil

Prediction of shield tunneling-induced ground settlement using machine learning techniques

Renpeng Chen et al.

FRONTIERS OF STRUCTURAL AND CIVIL ENGINEERING (2019)

Article Construction & Building Technology

Real-time analysis and regulation of EPB shield steering using Random Forest

Pin Zhang et al.

AUTOMATION IN CONSTRUCTION (2019)

Article Construction & Building Technology

Cyber-physical-system-based safety monitoring for blind hoisting with the internet of things: A case study

Cheng Zhou et al.

AUTOMATION IN CONSTRUCTION (2019)

Article Engineering, Geological

A single-objective EPR based model for creep index of soft clays considering L2 regularization

Yin-Fu Jin et al.

ENGINEERING GEOLOGY (2019)

Article Construction & Building Technology

Analysis of ground surface settlement induced by the construction of a large-diameter shallow-buried twin-tunnel in soft ground

Zhe Wang et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2019)

Article Computer Science, Information Systems

Investigation on Performance of Neural Networks Using Quadratic Relative Error Cost Function

Ning Zhang et al.

IEEE ACCESS (2019)

Article Construction & Building Technology

Cloud asset-enabled integrated IoT platform for lean prefabricated construction

Gangyan Xu et al.

AUTOMATION IN CONSTRUCTION (2018)

Article Construction & Building Technology

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

Wei Sun et al.

AUTOMATION IN CONSTRUCTION (2018)

Article Construction & Building Technology

Integrating IoT into operational workflows for real-time and automated decision-making in repetitive construction operations

Joseph Louis et al.

AUTOMATION IN CONSTRUCTION (2018)

Article Construction & Building Technology

A real-time interaction platform for settlement control during shield tunnelling construction

Xiongyao Xie et al.

AUTOMATION IN CONSTRUCTION (2018)

Article Engineering, Geological

Cutter-disc consumption during earth pressure balance tunnelling in mixed strata

Khalid Elbaz et al.

PROCEEDINGS OF THE INSTITUTION OF CIVIL ENGINEERS-GEOTECHNICAL ENGINEERING (2018)

Article Construction & Building Technology

Soil-tunnel interaction modelling for shield tunnels considering shearing dislocation in longitudinal joints

Huai-Na Wu et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2018)

Article Construction & Building Technology

A hybrid finite element and surrogate modelling approach for simulation and monitoring supported TBM steering

Jelena Ninic et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2017)

Article Construction & Building Technology

Safety barrier warning system for underground construction sites using Internet-of-Things technologies

C. Zhou et al.

AUTOMATION IN CONSTRUCTION (2017)

Article Construction & Building Technology

A tunnel information modelling framework to support management, simulations and visualisations in mechanised tunnelling projects

Christian Koch et al.

AUTOMATION IN CONSTRUCTION (2017)

Article Computer Science, Interdisciplinary Applications

Feasibility of PSO-ANN model for predicting surface settlement caused by tunneling

Mahdi Hasanipanah et al.

ENGINEERING WITH COMPUTERS (2016)

Article Engineering, Geological

Effects of construction sequence and cover depth on crossing-tunnel interaction

Thayanan Boonyarak et al.

CANADIAN GEOTECHNICAL JOURNAL (2015)

Article Construction & Building Technology

Model update and real-time steering of tunnel boring machines using simulation-based meta models

Jelena Ninic et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2015)

Article Engineering, Geological

A support vector regression model for predicting tunnel boring machine penetration rates

Satar Mahdevari et al.

INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES (2014)

Editorial Material Engineering, Electrical & Electronic

Internet of Things

Feng Xia et al.

INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS (2012)

Article Automation & Control Systems

Application of two non-linear prediction tools to the estimation of tunnel boring machine performance

S. Yagiz et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2009)

Article Construction & Building Technology

Wireless networking in tunnelling projects

Yasemin Nielsen et al.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2007)

Article Construction & Building Technology

Research in automated measurement of project performance indicators

R. Navon

AUTOMATION IN CONSTRUCTION (2007)

Article Biochemical Research Methods

Is cross-validation better than resubstitution for ranking genes?

U Braga-Neto et al.

BIOINFORMATICS (2004)

Article Computer Science, Artificial Intelligence

Random forests

L Breiman

MACHINE LEARNING (2001)