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Realtime prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel

Zaobao LIU; Yongchen WANG; Long LI; Xingli FANG; Junze WANG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 4,   Pages 401-413 doi: 10.1007/s11709-022-0823-3

Abstract: This paper proposes a real-time predictive model of TBM advance rate using the temporal convolutional

Keywords: hard rock tunnel     tunnel bore machine advance rate prediction     temporal convolutional networks     soft    

A Spatial–Temporal Network Perspective for the Propagation Dynamics of Air Traffic Delays Article

Qing Cai, Sameer Alam, Vu N. Duong

Engineering 2021, Volume 7, Issue 4,   Pages 452-464 doi: 10.1016/j.eng.2020.05.027

Abstract: Specifically, we model air traffic scenarios using spatial-temporal networks with airports as the nodesBased on the constructed spatial–temporal networks, we suggest three metrics—magnitude, severity

Keywords: Air traffic     Transport systems     Delay propagation dynamics     Spatial–temporal networks    

A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3 Regular Papers

Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 405-413 doi: 10.1631/FITEE.1700413

Abstract: In this study, we present a novel method based on convolutional neural networks (CNNs) for the synthesis

Keywords: Convolutional neural networks (CNNs)     Electrocardiogram (ECG) synthesis     E-health    

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of thin-walled structural components

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0688-0

Abstract: classification schemes have been considered in this study: those that perform feature extraction by using the convolutionalneural networks and those based on an explicit feature extraction procedure.

Keywords: precision milling     dimensional accuracy     cutting force     convolutional neural networks     coherent noise    

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Frontiers of Chemical Science and Engineering 2023, Volume 17, Issue 6,   Pages 759-771 doi: 10.1007/s11705-022-2269-5

Abstract: more accurately the product yields and properties than the previously introduced self-organizing-map convolutional

Keywords: hydrocracking     convolutional neural networks     self-organizing map     deep learning     data-driven optimization    

Classifying multiclass relationships between ASes using graph convolutional network

Frontiers of Engineering Management   Pages 653-667 doi: 10.1007/s42524-022-0217-1

Abstract: We then introduce new features and propose a graph convolutional network (GCN) framework, AS-GCN, to

Keywords: autonomous system     multiclass relationship     graph convolutional network     classification algorithm     Internet    

Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutionalnetworks Research Article

Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 12,   Pages 1848-1861 doi: 10.1631/FITEE.2200035

Abstract: Then we propose a multi-graph convolutional network (MGCN) based on a graph classification task, which

Keywords: Power systems     Vulnerability     Cascading failures     Multi-graph convolutional networks     Weighted line graph    

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 2, doi: 10.1007/s11465-022-0673-7

Abstract: Convolutional neural network (CNN) has achieved remarkable applications in fault diagnosis.

Keywords: deep reinforcement learning     hyper parameter optimization     convolutional neural network     fault diagnosis    

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 2,   Pages 305-317 doi: 10.1007/s11709-021-0725-9

Abstract: challenge, this paper presents a method for automating concrete damage classification using a deep convolutionalThe convolutional neural network was designed after an experimental investigation of a wide number ofpretrained networks, applying the transfer-learning technique.

Keywords: concrete structure     infrastructures     visual inspection     convolutional neural network     artificial intelligence    

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 2,   Pages 214-223 doi: 10.1007/s11709-021-0800-2

Abstract: Such strategy leverages the high capacity of convolutional neural networks to identify and classify potentialprofiles and the revealed structural phenomena have been used as input and output to train and test such networks

Keywords: concrete structure     GPR     damage classification     convolutional neural network     transfer learning    

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Frontiers of Mechanical Engineering 2022, Volume 17, Issue 3, doi: 10.1007/s11465-022-0692-4

Abstract: pressure signals under different pump health conditions are fused into RGB images and then recognized by a convolutional

Keywords: axial piston pump     fault diagnosis     convolutional neural network     multi-sensor data fusion    

Estimating Rainfall Intensity Using an Image-Based Deep Learning Model Article

Hang Yin, Feifei Zheng, Huan-Feng Duan, Dragan Savic, Zoran Kapelan

Engineering 2023, Volume 21, Issue 2,   Pages 162-174 doi: 10.1016/j.eng.2021.11.021

Abstract: proposes an image-based deep learning model to estimate urban rainfall intensity with high spatial and temporalMore specifically, a convolutional neural network (CNN) model called the image-based rainfall CNN (irCNN

Keywords: Urban flooding     Rainfall images     Deep learning model     Convolutional neural networks (CNNs)     Rainfall    

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 4,   Pages 814-828 doi: 10.1007/s11465-021-0650-6

Abstract: Deep neural networks have provided unprecedented opportunities to condition monitoring from a new perspectiveaddress this issue, this paper explores a decision-tree-structured neural network, that is, the deep convolutionalThe proposed model effectively integrates the advantages of convolutional neural network (CNN) and decision

Keywords: bearing     cross-severity fault diagnosis     hierarchical fault diagnosis     convolutional neural network    

Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 882-895 doi: 10.1007/s11709-022-0859-4

Abstract: In this case, the convolutional neural network (CNN) provides a better alternative.

Keywords: slope stability     limit equilibrium method     convolutional neural network     database for slopes     big data    

Efficient, high-resolution topology optimization method based on convolutional neural networks

Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG

Frontiers of Mechanical Engineering 2021, Volume 16, Issue 1,   Pages 80-96 doi: 10.1007/s11465-020-0614-2

Abstract: efficient, high-resolution topology optimization method is developed based on the super-resolution convolutional

Keywords: topology optimization     convolutional neural network     high resolution     density-based    

Title Author Date Type Operation

Realtime prediction of hard rock TBM advance rate using temporal convolutional network (TCN) with tunnel

Zaobao LIU; Yongchen WANG; Long LI; Xingli FANG; Junze WANG

Journal Article

A Spatial–Temporal Network Perspective for the Propagation Dynamics of Air Traffic Delays

Qing Cai, Sameer Alam, Vu N. Duong

Journal Article

A novel method based on convolutional neural networks for deriving standard 12-lead ECG from serial 3

Lu-di WANG, Wei ZHOU, Ying XING, Na LIU, Mahmood MOVAHEDIPOUR, Xiao-guang ZHOU

Journal Article

A hybrid deep learning model for robust prediction of the dimensional accuracy in precision milling of thin-walled structural components

Journal Article

Multiple input self-organizing-map ResNet model for optimization of petroleum refinery conversion units

Journal Article

Classifying multiclass relationships between ASes using graph convolutional network

Journal Article

Interpreting the vulnerability of power systems in cascading failures using multi-graph convolutionalnetworks

Supaporn LONAPALAWONG, Changsheng CHEN, Can WANG, Wei CHEN

Journal Article

A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Journal Article

Automated classification of civil structure defects based on convolutional neural network

Pierclaudio SAVINO, Francesco TONDOLO

Journal Article

Deep convolutional neural network for multi-level non-invasive tunnel lining assessment

Journal Article

Fault diagnosis of axial piston pumps with multi-sensor data and convolutional neural network

Journal Article

Estimating Rainfall Intensity Using an Image-Based Deep Learning Model

Hang Yin, Feifei Zheng, Huan-Feng Duan, Dragan Savic, Zoran Kapelan

Journal Article

Deep convolutional tree-inspired network: a decision-tree-structured neural network for hierarchical

Journal Article

Slope stability analysis based on big data and convolutional neural network

Yangpan FU; Mansheng LIN; You ZHANG; Gongfa CHEN; Yongjian LIU

Journal Article

Efficient, high-resolution topology optimization method based on convolutional neural networks

Liang XUE, Jie LIU, Guilin WEN, Hongxin WANG

Journal Article