Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures-Reference-Cited by-同舟云学术

Pruning deep convolutional neural networks for efficient edge computing in condition assessment of infrastructures

Published:2019-05-21 Issue:9 Volume:34 Page:774-789
ISSN:1093-9687
Container-title:Computer-Aided Civil and Infrastructure Engineering
language:en
Short-container-title:Computer‐Aided Civil and Infrastructure Engineering

Author:

Wu Rih‐Teng¹,Singla Ankush²,Jahanshahi Mohammad R.¹³,Bertino Elisa²,Ko Bong Jun⁴,Verma Dinesh⁴

Affiliation:

1. Lyles School of Civil Engineering Purdue University West Lafayette Indiana

2. Department of Computer Science Purdue University West Lafayette Indiana

3. School of Electrical and Computer Engineering Purdue University West Lafayette Indiana

4. IBM Thomas J. Watson Research Center Yorktown Heights New York

Funder

National Science Foundation

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Graphics and Computer-Aided Design,Computer Science Applications,Civil and Structural Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mice.12449

Reference67 articles.

1. Aghasi A. Abdi A. Nguyen N. &Romberg J.(2017).Net‐trim: Convex pruning of deep neural networks with performance guarantee.arXiv preprint arXiv:1611.05162v4.

2. Akbar M. A. Qidwai U. &Jahanshahi M. R.(2019).An evaluation of image based structural health monitoring using integrated UAV platform.Structural Control and Health Monitoring 26(1).https://doi.org/10.1002/stc.2276.

3. Learning the number of neurons in deep networks;Alvarez J. M.;Advances in Neural Information Processing Systems,2016

4. Synchrosqueezed wavelet transform-fractality model for locating, detecting, and quantifying damage in smart highrise building structures

Cited by 80 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A lightweight and accurate recognition algorithm of pointer meter based on improved Deeplabv3+ for inspection robots;Measurement and Control;2024-07-31

2. Image augmentation for nondestructive testing in engineering structures based on denoising diffusion probabilistic model;Journal of Building Engineering;2024-07

3. Adaptation in Edge Computing: A review on design principles and research challenges;ACM Transactions on Autonomous and Adaptive Systems;2024-05-09

4. Surface defect detection of civil structures using images: Review from data perspective;Automation in Construction;2024-02

5. Artificial neural networks applications in construction and building engineering (1991–2021): Science mapping and visualization;Applied Soft Computing;2024-02