Surface hardness monitoring of laser shock Peening: Acoustic emission and key frame selection

Using an artificial neural network to predict the residual stress induced by laser shock processing

(2021) Jiajun Wu et al.   APPLIED OPTICS

A novel keyframe extraction method for video classification using deep neural networks

(2021) Rukiye Savran Kızıltepe et al.   NEURAL COMPUTING & APPLICATIONS

An arrhythmia classification algorithm using C-LSTM in physiological parameters monitoring system under internet of health things environment

(2021) Weijia Lu et al.   Journal of Ambient Intelligence and Humanized Computing

Planetary gearbox fault diagnosis using bidirectional-convolutional LSTM networks

(2021) Junchuan Shi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Online learnable keyframe extraction in videos and its application with semantic word vector in action recognition

(2021) G M Mashrur E Elahi et al.   PATTERN RECOGNITION

Interpretable spatio-temporal attention LSTM model for flood forecasting

(2020) Yukai Ding et al.   NEUROCOMPUTING

A Comprehensive Survey on Multi-View Video Summarization

(2020) Tanveer Hussain et al.   PATTERN RECOGNITION

Acoustic emission characteristics of coal failure using automatic speech recognition methodology analysis

(2020) H.L. Wang et al.   INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES

The Online Monitoring Method Research of Laser Shock Processing Based on Plasma Acoustic Wave Signal Energy

(2019) Jiajun Wu et al.   OPTIK

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

Bearing performance degradation assessment using long short-term memory recurrent network

(2019) Bin Zhang et al.   COMPUTERS IN INDUSTRY

An ensemble framework based on convolutional bi-directional LSTM with multiple time windows for remaining useful life estimation

(2019) Tangbin Xia et al.   COMPUTERS IN INDUSTRY

Evaluating methods for quality of laser shock processing

(2019) Jiajun Wu et al.   OPTIK

Macroscopic–Microscopic Attention in LSTM Networks Based on Fusion Features for Gear Remaining Life Prediction

(2019) Yi Qin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

High Cycle Fatigue Performance in Laser Shock Peened TC4 Titanium Alloys Subjected to Foreign Object Damage

(2018) Sihai Luo et al.   JOURNAL OF MATERIALS ENGINEERING AND PERFORMANCE

An analysis of Convolutional Long Short-Term Memory Recurrent Neural Networks for gesture recognition

(2017) Eleni Tsironi et al.   NEUROCOMPUTING

From handcrafted to learned representations for human action recognition: A survey

(2016) Fan Zhu et al.   IMAGE AND VISION COMPUTING

Acoustic Emission Monitoring of Laser Shock Peening by Detection of Underwater Acoustic Wave

(2016) Tomoki Takata et al.   MATERIALS TRANSACTIONS

Experimental investigation of laser peening on Ti17 titanium alloy for rotor blade applications

(2015) Qiao Hongchao   APPLIED SURFACE SCIENCE

Multitask Linear Discriminant Analysis for View Invariant Action Recognition

(2014) Yan Yan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

A survey of vision-based methods for action representation, segmentation and recognition

(2010) Daniel Weinland et al.   COMPUTER VISION AND IMAGE UNDERSTANDING

Residual strain and hardness as predictors of the fatigue ranking of steel welds

(2009) M.N. James et al.   INTERNATIONAL JOURNAL OF FATIGUE