Comparative deep learning studies for indirect tunnel monitoring with and without Fourier pre-processing

Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network

(2022) Zhong Zhou et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Durability degradation of tunnel-lining-shotcrete exposed to nitric acid: Neutralization and nitrate ion migration

(2022) Jiabin Wang et al.   CONSTRUCTION AND BUILDING MATERIALS

Vision Transformer for femur fracture classification

(2022) Leonardo Tanzi et al.   INJURY-INTERNATIONAL JOURNAL OF THE CARE OF THE INJURED

Evaluation of Ultrasonic SH-Waveform Tomography for Determining Cover Thickness and Rebar Size in Concrete Structures

(2022) Ruoyu Chen et al.   JOURNAL OF NONDESTRUCTIVE EVALUATION

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

(2022) Bernardino Chiaia et al.   Frontiers of Structural and Civil Engineering

Structural health monitoring of civil engineering structures by using the internet of things: A review

(2022) Mayank Mishra et al.   Journal of Building Engineering

Indirect assessment of concrete resistance from FE model updating and Young’s modulus estimation of a multi-span PSC viaduct: Experimental tests and validation

(2022) Angelo Aloisio et al.   Structures

New adaptive robust H∞ control of smart structures using synchrosqueezed wavelet transform and recursive least-squares algorithm

(2022) Zhijun Li et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Review of Post-Fire Inspection Procedures for Concrete Tunnels

(2021) Nick Menz et al.   TRANSPORTATION RESEARCH RECORD

Finicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices

(2021) Mateusz Żarski et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation

(2021) Hui Qin et al.   AUTOMATION IN CONSTRUCTION

Arbitrarily-oriented tunnel lining defects detection from Ground Penetrating Radar images using deep Convolutional Neural networks

(2021) Jing Wang et al.   AUTOMATION IN CONSTRUCTION

GPRInvNet: Deep Learning-Based Ground-Penetrating Radar Data Inversion for Tunnel Linings

(2021) Bin Liu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Identifying void defects behind Tunnel composite lining based on transient electromagnetic radar method

(2021) Qingqiao Geng et al.   NDT & E INTERNATIONAL

Recognition Method of Tunnel Lining Defects Based on Deep Learning

(2021) Anfu Zhu et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

A Comprehensive Evaluation for the Tunnel Conditions with Ground Penetrating Radar Measurements

(2021) Jordi Mahardika Puntu et al.   Remote Sensing

A Sensitivity and Robustness Analysis of GPR and ANN for High-Performance Concrete Compressive Strength Prediction Using a Monte Carlo Simulation

(2020) Dong Van Dao et al.   Sustainability

Tunnel condition assessment via cloud model-based random forests and self-training approach

(2020) Mengqi Zhu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Semi‐supervised learning based on convolutional neural network and uncertainty filter for façade defects classification

(2020) Jingjing Guo et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Advances of deep learning applications in ground-penetrating radar: A survey

(2020) Zheng Tong et al.   CONSTRUCTION AND BUILDING MATERIALS

Deterioration mapping in subway infrastructure using sensory data of GPR

(2020) Thikra Dawood et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Convolutional neural network for automated classification of jointed plain concrete pavement conditions

(2020) Yung‐An Hsieh et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Multi-stage deep learning perception system for mobile robots

(2020) Edgar Macias-Garcia et al.   INTEGRATED COMPUTER-AIDED ENGINEERING

A novel tunnel-lining crack recognition system based on digital image technology

(2020) Mingfeng Lei et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach

(2019) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Quantitative condition inspection and assessment of tunnel lining

(2019) Yujing Jiang et al.   AUTOMATION IN CONSTRUCTION

Structural Damage Detection using Deep Convolutional Neural Network and Transfer Learning

(2019) Chuncheng Feng et al.   KSCE Journal of Civil Engineering

Using Ground Penetrating Radar Methods to Investigate Reinforced Concrete Structures

(2019) Fabio Tosti et al.   SURVEYS IN GEOPHYSICS

INFRARED THERMOGRAPHY FOR DETECTING DEFECTS IN CONCRETE STRUCTURES

(2018) Gene F. Sirca Jr. et al.   Journal of Civil Engineering and Management

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

New methodology for modal parameters identification of smart civil structures using ambient vibrations and synchrosqueezed wavelet transform

(2016) Carlos A. Perez-Ramirez et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

New method for modal identification of super high-rise building structures using discretized synchrosqueezed wavelet and Hilbert transforms

(2016) Zhijun Li et al.   STRUCTURAL DESIGN OF TALL AND SPECIAL BUILDINGS

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Advanced structural health monitoring of concrete structures with the aid of acoustic emission

(2014) Arash Behnia et al.   CONSTRUCTION AND BUILDING MATERIALS