Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis

TY - JOUR

T1 - Towards a Convolutional Neural Network model for classifying regional ship collision risk levels for waterway risk analysis

AU - Zhang, Weibin

AU - Feng, Xinyu

AU - Goerlandt, Floris

AU - Liu, Qing

N1 - Funding Information: This research is supported by the National Natural Science Foundation of China (Grant no. 71971116 ). The contributions by the third author are supported by funding from the Canada First Research Excellence Fund, through the Ocean Frontier Institute. The work was further supported by the Natural Sciences and Engineering Research Council of Canada (NSERC), through the Canada Research Chairs programme. The authors also acknowledge the thoughtful and constructive comments by three anonymous reviewers, which were instrumental for making improvements to an earlier version of this work. Publisher Copyright: © 2020 Elsevier Ltd

PY - 2020/12

Y1 - 2020/12

UR - http://www.scopus.com/inward/record.url?scp=85088830900&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85088830900&partnerID=8YFLogxK

U2 - 10.1016/j.ress.2020.107127

DO - 10.1016/j.ress.2020.107127

M3 - Article

AN - SCOPUS:85088830900

SN - 0951-8320

VL - 204

JO - Reliability Engineering and System Safety

JF - Reliability Engineering and System Safety

M1 - 107127

ER -