相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Detecting structural damage under unknown seismic excitation by deep convolutional neural network with wavelet-based transmissibility data
Ying Lei et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2021)
Damage localization in plate-like structures using time-varying feature and one-dimensional convolutional neural network
Shengyuan Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Compressive-sensing data reconstruction for structural health monitoring: a machine-learning approach
Yuequan Bao et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2020)
Training deep quantum neural networks
Kerstin Beer et al.
NATURE COMMUNICATIONS (2020)
Damage Localization in Pressure Vessel by Guided Waves Based on Convolution Neural Network Approach
Chaojie Hu et al.
JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME (2020)
On the application of domain adaptation in structural health monitoring
P. Gardner et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Multi-agent behavioral control system using deep reinforcement learning
Ngoc Duy Nguyen et al.
NEUROCOMPUTING (2019)
Deep Learning for Hyperspectral Image Classification: An Overview
Shutao Li et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2019)
A generalizable deep learning framework for localizing and characterizing acoustic emission sources in riveted metallic panels
Arvin Ebrahimkhanlou et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
Probabilistic active learning: An online framework for structural health monitoring
L. A. Bull et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
A new deep convolutional neural network for fast hyperspectral image classification
M. E. Paoletti et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2018)
Steel surface defect classification using multiple hyper-spheres support vector machine with additional information
Rongfen Gong et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2018)
A fast, invariant representation for human action in the visual system
Leyla Isik et al.
JOURNAL OF NEUROPHYSIOLOGY (2018)
CRACK DETECTION IN HISTORICAL STRUCTURES BASED ON CONVOLUTIONAL NEURAL NETWORK
Krisada Chaiyasarn et al.
INTERNATIONAL JOURNAL OF GEOMATE (2018)
Advanced Methods in NDE using Machine Learning Approaches
Christian Wunderlich et al.
44TH ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOL 37 (2018)
The Synaptic Theory of Memory: A Historical Survey and Reconciliation of Recent Opposition
Jesse J. Langille et al.
FRONTIERS IN SYSTEMS NEUROSCIENCE (2018)
Application of Deep Learning in Infrared Non-Destructive Testing
Bardia Yousefi et al.
14TH QUANTITATIVE INFRARED THERMOGRAPHY CONFERENCE (2018)
Transducer Placement Option of Lamb Wave SHM System for Hotspot Damage Monitoring
Vincentius Ewald et al.
AEROSPACE (2018)
Integration of Non-Destructive Evaluation-based Ultrasonic Simulation: A means for simulation in structural health monitoring
Christian Boller et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2017)
Echo State Property of Deep Reservoir Computing Networks
Claudio Gallicchio et al.
COGNITIVE COMPUTATION (2017)
Time-Frequency Representations as Phase Space Reconstruction in Symbolic Recurrence Structure Analysis
Mariia Fedotenkova et al.
ADVANCES IN TIME SERIES ANALYSIS AND FORECASTING (2017)
Deep Learning-Based Crack Damage Detection Using Convolutional Neural Networks
Young-Jin Cha et al.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING (2017)
Enhanced LSTM for Natural Language Inference
Qian Chen et al.
PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1 (2017)
Design of deep convolutional neural network architectures for automated feature extraction in industrial inspection
Daniel Weimer et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY (2016)
Garbage in, Garbage Out: Data Collection, Quality Assessment and Reporting Standards for Social Media Data Use in Health Research, Infodemiology and Digital Disease Detection
Yoonsang Kim et al.
JOURNAL OF MEDICAL INTERNET RESEARCH (2016)
Sample Compression Schemes for VC Classes
Shay Moran et al.
JOURNAL OF THE ACM (2016)
Deep learning in neural networks: An overview
Juergen Schmidhuber
NEURAL NETWORKS (2015)
Ultrasonic Flaw Detection using Support Vector Machine Classification
Kushal Virupakshappa et al.
2015 IEEE INTERNATIONAL ULTRASONICS SYMPOSIUM (IUS) (2015)
Phase discontinuity predictions using a machine-learning trained kernel
Firas Sawaf et al.
APPLIED OPTICS (2014)
Numerical analysis of Lamb waves using the finite and spectral cell methods
S. Duczek et al.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING (2014)
Support vector machines based defect recognition in SonicIR using 2D heat diffusion features
Zhi Zeng et al.
NDT & E INTERNATIONAL (2012)
Study on Single Mode Lamb Wave Interaction with Defect of Plate by Finite Element Model
Hanhui Xu et al.
CEIS 2011 (2011)
Adaptive predistortions based on neural networks associated with Levenberg-Marquardt algorithm for satellite down links
Rafik Zayani et al.
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING (2008)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)
Generation and detection of guided waves using PZT wafer transducers
JH Nieuwenhuis et al.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL (2005)
Time-frequency representations of Lamb waves
M Niethammer et al.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA (2001)
分享论文
