A Deep Learning Framework for Damage Assessment of Composite Sandwich Structures

Gapped Gaussian smoothing technique for debonding assessment with automatic thresholding

(2019) Viviana Meruane et al.   Structural Control & Health Monitoring

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Damage assessment in a sandwich panel based on full-field vibration measurements

(2018) F. Seguel et al.   JOURNAL OF SOUND AND VIBRATION

Convolutional neural networks for automated damage recognition and damage type identification

(2018) Ceena Modarres et al.   Structural Control & Health Monitoring

Modal Strain Energy-Based Debonding Assessment of Sandwich Panels Using a Linear Approximation with Maximum Entropy

(2017) et al.   Entropy

Deep Convolutional Neural Networks for Image Classification: A Comprehensive Review

(2017) Waseem Rawat et al.   NEURAL COMPUTATION

Mode shape-based damage detection in plate structure without baseline data

(2016) Sandris Rucevskis et al.   Structural Control & Health Monitoring

Stone impact damage identification in composite plates using modal data and quincunx wavelet analysis

(2015) A. Katunin   Archives of Civil and Mechanical Engineering

A new technique to optimize the use of mode shape derivatives to localize damage in laminated composite plates

(2013) P. Moreno-García et al.   COMPOSITE STRUCTURES

GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models

(2009) Jonathan Ko et al.   AUTONOMOUS ROBOTS