Deep Learning for Critical Infrastructure Resilience-Reference-Cited by-同舟云学术

Deep Learning for Critical Infrastructure Resilience

Published:2019-06 Issue:2 Volume:25 Page:05019003
ISSN:1076-0342
Container-title:Journal of Infrastructure Systems
language:en
Short-container-title:J. Infrastruct. Syst.

Author:

Dick Kevin¹,Russell Luke²,Souley Dosso Yasmina¹,Kwamena Felix³,Green James R.⁴^ORCID

Affiliation:

1. Ph.D. Candidate, Dept. of Systems and Computer Engineering, Carleton Univ., Ottawa, ON, Canada K1S 5B6.

2. Researcher, Dept. of Systems and Computer Engineering, Carleton Univ., Ottawa, ON, Canada K1S 5B6.

3. Adjunct Professor, Dept. of Systems and Computer Engineering, Carleton Univ., Ottawa, ON, Canada K1S 5B6.

4. Associate Professor, Dept. of Systems and Computer Engineering, Carleton Univ., Ottawa, ON, Canada K1S 5B6 (corresponding author). ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29IS.1943-555X.0000477

Reference57 articles.

1. Abadi M. et al. 2016. “TensorFlow: Large-scale machine learning on heterogeneous distributed systems.” Preprint submitted March 14 2016. https://arxiv.org/abs/1603.04467.

2. Airborne Optical and Thermal Remote Sensing for Wildfire Detection and Monitoring

3. America’s Electric Cooperatives. 2017. “Can the infrastructure be fixed?” Accessed March 20 2017. http://www.electric.coop/.

4. City Scanner: Building and Scheduling a Mobile Sensing Platform for Smart City Services

5. AE—Automation and Emerging Technologies

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