A Multi-defect detection system for sewer pipelines based on StyleGAN-SDM and fusion CNN

Making recommendations using transfer learning

(2021) Xing Fang   NEURAL COMPUTING & APPLICATIONS

Transfer learning for ECG classification

(2021) Kuba Weimann et al.   Scientific Reports

Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images

(2021) Mingzhu Wang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Deep learning-based road damage detection and classification for multiple countries

(2021) Deeksha Arya et al.   AUTOMATION IN CONSTRUCTION

Valve Detection for Autonomous Water Pipeline Inspection Platform

(2021) Rakiba Rayhana et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

Detecting Leaks in Water Distribution Pipes Using a Deep Autoencoder and Hydroacoustic Spectrograms

(2020) Roya A. Cody et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deep learning for site safety: Real-time detection of personal protective equipment

(2020) Nipun D. Nath et al.   AUTOMATION IN CONSTRUCTION

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

(2020) E. Samaniego et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Efficient convolution pooling on the GPU

(2020) Shunsuke Suita et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Label-preserving data augmentation for mobile sensor data

(2020) Mooseop Kim et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Leakage detection in water pipelines using supervised classification of acceleration signals

(2020) Harshit Shukla et al.   AUTOMATION IN CONSTRUCTION

Structural displacement monitoring based on mask regions with convolutional neural network

(2020) Yang Zhang et al.   CONSTRUCTION AND BUILDING MATERIALS

Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

(2020) Mingzhu Wang et al.   AUTOMATION IN CONSTRUCTION

Minor class-based status detection for pipeline network using enhanced generative adversarial networks

(2020) Xuguang Hu et al.   NEUROCOMPUTING

Insufficient Data Generative Model for Pipeline Network Leak Detection Using Generative Adversarial Networks

(2020) Huaguang Zhang et al.   IEEE Transactions on Cybernetics

Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification

(2019) Duanshun Li et al.   AUTOMATION IN CONSTRUCTION

Automatic damage detection of historic masonry buildings based on mobile deep learning

(2019) Niannian Wang et al.   AUTOMATION IN CONSTRUCTION

Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation

(2019) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Underground sewer pipe condition assessment based on convolutional neural networks

(2019) Syed Ibrahim Hassan et al.   AUTOMATION IN CONSTRUCTION

A deep learning-based framework for an automated defect detection system for sewer pipes

(2019) Xianfei Yin et al.   AUTOMATION IN CONSTRUCTION

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

(2018) Srinath S. Kumar et al.   AUTOMATION IN CONSTRUCTION

Risk assessment model to prioritize sewer pipes inspection in wastewater collection networks

(2017) Mohammad Javad Anbari et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Detection of material interfaces using a regularized level set method in piezoelectric structures

(2015) S.S. Nanthakumar et al.   INVERSE PROBLEMS IN SCIENCE AND ENGINEERING

Computational Intelligence for Urban Infrastructure Condition Assessment: Water Transmission and Distribution Systems

(2014) Zheng Liu et al.   IEEE SENSORS JOURNAL

The Pascal Visual Object Classes Challenge: A Retrospective

(2014) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Efficient Algorithm for Crack Detection in Sewer Images from Closed-Circuit Television Inspections

(2013) Mahmoud R. Halfawy et al.   Journal of Infrastructure Systems

Classification of defects with ensemble methods in the automated visual inspection of sewer pipes

(2013) Wei Wu et al.   PATTERN ANALYSIS AND APPLICATIONS

The MNIST Database of Handwritten Digit Images for Machine Learning Research [Best of the Web]

(2012) Li Deng   IEEE SIGNAL PROCESSING MAGAZINE

Corrosion detection of internal pipeline using NDT optical inspection system

(2012) M.S. Safizadeh et al.   NDT & E INTERNATIONAL

Robust adaptive flow line detection in sewer pipes

(2011) Simon Kirstein et al.   AUTOMATION IN CONSTRUCTION

Automated defect detection for sewer pipeline inspection and condition assessment

(2009) W. Guo et al.   AUTOMATION IN CONSTRUCTION

Learning from Imbalanced Data

(2009) Haibo He et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Visual Pattern Recognition Supporting Defect Reporting and Condition Assessment of Wastewater Collection Systems

(2009) W. Guo et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Automated diagnosis of sewer pipe defects based on machine learning approaches

(2007) Ming-Der Yang et al.   EXPERT SYSTEMS WITH APPLICATIONS