Convolutional neural network-based data anomaly detection method using multiple information for structural health monitoring

Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images

(2018) Zdenek Kolar et al.   AUTOMATION IN CONSTRUCTION

Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

(2018) Qi Fang et al.   AUTOMATION IN CONSTRUCTION

A deep hybrid learning model to detect unsafe behavior: Integrating convolution neural networks and long short-term memory

(2018) Lieyun Ding et al.   AUTOMATION IN CONSTRUCTION

Artificial Intelligence in the Rising Wave of Deep Learning: The Historical Path and Future Outlook [Perspectives]

(2018) Li Deng   IEEE SIGNAL PROCESSING MAGAZINE

Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks

(2018) Xiaochun Luo et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Comparative Study of Hybrid Artificial Intelligence Approaches for Predicting Hangingwall Stability

(2018) Chongchong Qi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Unified Approach to Pavement Crack and Sealed Crack Detection Using Preclassification Based on Transfer Learning

(2018) Kaige Zhang et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

(2018) Hongjo Kim et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Wind turbine fault detection and classification by means of image texture analysis

(2018) Magda Ruiz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gear fault diagnosis using transmission error and ensemble empirical mode decomposition

(2018) Sungho Park et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Computer vision and deep learning–based data anomaly detection method for structural health monitoring

(2018) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Identification framework for cracks on a steel structure surface by a restricted Boltzmann machines algorithm based on consumer-grade camera images

(2017) Yang Xu et al.   Structural Control & Health Monitoring

Damage detection under varying temperature using artificial neural networks

(2017) Jianfeng Gu et al.   Structural Control & Health Monitoring

Continuous dynamic monitoring of a prestressed concrete bridge based on strain, inclination and crack measurements over a 14-year span

(2017) Wei-Hua Hu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection

(2017) Deegan J Atha et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Harnessing data structure for recovery of randomly missing structural vibration responses time history: Sparse representation versus low-rank structure

(2016) Yongchao Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Three-Tier Modular Structural Health Monitoring Framework Using Environmental and Operational Condition Clustering for Data Normalization: Validation on an Operational Wind Turbine System

(2016) Moritz W. Hackell et al.   PROCEEDINGS OF THE IEEE

Structural health monitoring: technological advances to practical implementations [scanning the issue]

(2016) Jerome P. Lynch et al.   PROCEEDINGS OF THE IEEE

Robust data transmission and recovery of images by compressed sensing for structural health diagnosis

(2016) Yongchao Yang et al.   Structural Control & Health Monitoring

Modeling and harnessing sparse and low-rank data structure: a new paradigm for structural dynamics, identification, damage detection, and health monitoring

(2016) Satish Nagarajaiah et al.   Structural Control & Health Monitoring

Quantitative analysis of pit defects in an automobile engine cylinder cavity using the radial basis function neural network–genetic algorithm model

(2016) Xiaoxia Yang et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Structural damage detection using transmissibility together with hierarchical clustering analysis and similarity measure

(2016) Yun-Lai Zhou et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

An interactive machine-learning-based electronic fraud and abuse detection system in healthcare insurance

(2015) Ilker Kose et al.   APPLIED SOFT COMPUTING

Data Compression of Structural Seismic Responses via Principled Independent Component Analysis

(2014) Yongchao Yang et al.   JOURNAL OF STRUCTURAL ENGINEERING

Detection, identification, and quantification of sensor fault in a sensor network

(2013) Jyrki Kullaa   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Blind denoising of structural vibration responses with outliers via principal component pursuit

(2013) Yongchao Yang et al.   Structural Control & Health Monitoring

A novel probabilistic method for robust parametric identification and outlier detection

(2012) Ka-Veng Yuen et al.   PROBABILISTIC ENGINEERING MECHANICS

Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring

(2011) Jyrki Kullaa   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Sensor validation using minimum mean square error estimation

(2009) Jyrki Kullaa   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Correcting Sensor Drift and Intermittency Faults With Data Fusion and Automated Learning

(2008) Kai Goebel et al.   IEEE Systems Journal