Group sparsity-aware convolutional neural network for continuous missing data recovery of structural health monitoring

The State of the Art of Data Science and Engineering in Structural Health Monitoring

(2019) Yuequan Bao et al.   Engineering

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

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

Lost data recovery for structural health monitoring based on convolutional neural networks

(2019) Gao Fan et al.   Structural Control & Health Monitoring

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

Low-Rank Matrix Completion [Lecture Notes]

(2018) Yuejie Chi   IEEE SIGNAL PROCESSING MAGAZINE

Analyzing and modeling inter-sensor relationships for strain monitoring data and missing data imputation: a copula and functional data-analytic approach

(2018) Zhicheng Chen et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

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

(2018) Zhiyi Tang et al.   Structural Control & Health Monitoring

Joint seismic data denoising and interpolation with double-sparsity dictionary learning

(2017) Lingchen Zhu et al.   Journal of Geophysics and Engineering

Compressive sensing of wireless sensors based on group sparse optimization for structural health monitoring

(2017) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A Study on Data Loss Compensation of WiFi-Based Wireless Sensor Networks for Structural Health Monitoring

(2016) Yan Yu et al.   IEEE SENSORS 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

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

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

Efficient matrix completion for seismic data reconstruction

(2015) Rajiv Kumar et al.   GEOPHYSICS

Seismic data two-step recovery approach combining sparsity-promoting and hyperbolic Radon transform methods

(2015) Hanchuang Wang et al.   Journal of Geophysics and Engineering

Modal Analysis With Compressive Measurements

(2014) Jae Young Park et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Fast and Accurate Matrix Completion via Truncated Nuclear Norm Regularization

(2013) Yao Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Reliable multi-hop communication for structural health monitoring

(2013) Tomonori Nagayama et al.   Smart Structures and Systems

Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring

(2012) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

NGA Project Strong-Motion Database

(2008) Brian Chiou et al.   EARTHQUAKE SPECTRA

Convex multi-task feature learning

(2008) Andreas Argyriou et al.   MACHINE LEARNING

Inpainting and Zooming Using Sparse Representations

(2007) M.J. Fadili et al.   COMPUTER JOURNAL