Ice conditions of navigation during the NABOS-2021 expedition in September-October 2021

Autor: Timofeeva A.B.

Publikováno v: Российская Арктика, Pp 54-67 (2021)

The short message presents the primary processing data results of special shipborne ice observations during the NABOS-2021 expedition in September-October 2021. A feature of this expedition was unforeseen during the planning period hard ice condition

Externí odkaz: https://doaj.org/article/48e3f0b7365b4d438fc758e10b30dceb

Ship Track Regression Based on Support Vector Machine

Autor: Bo Ban, Junjie Yang, Pengguang Chen, Jianbin Xiong, Qinruo Wang

Publikováno v: IEEE Access, Vol 5, Pp 18836-18846 (2017)

This work was supported in part by the National Natural Science Foundation of China under Grant 61473331, in part by the Natural Science Foundation of Guangdong Province of China under Grant 2014A030307049, in part by the Ordinary University Innovati

Externí odkaz: https://doaj.org/article/7933ccd1181a42dba073c0a269d14fb6

Preliminary Inter-comparison of AIS Data and Optimal Ship Tracks

Autor: Giannis Spiliopoulos, Dimitrios Zissis, Gianandrea Mannarini, Lorenzo Carelli, Konstantinos Chatzikokolakis

Publikováno v: TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol 13, Iss 1, Pp 53-61 (2019)
TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation

Optimal ship tracks computed via the VISIR model are compared to tracks recorded by the Automatic Identification System (AIS). The evaluation regards 43 tracks in the Southern Atlantic Ocean, sailed during 2016-2017 by different bulk carriers. In thi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::898df0106a522ba219a98092584440fa

Ship Track Regression Based on Support Vector Machine

Autor: Junjie Yang, Pengguang Chen, Bo Ban, Qinruo Wang, Jianbin Xiong

Publikováno v: IEEE Access, Vol 5, Pp 18836-18846 (2017)

This work was supported in part by the National Natural Science Foundation of China under Grant 61473331, in part by the Natural Science Foundation of Guangdong Province of China under Grant 2014A030307049, in part by the Ordinary University Innovati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31cc3b4659eb7d583c12607c37f20a74
https://doi.org/10.1109/access.2017.2749260

Exploring the likelihood of Arctic port development in accordance with future growth of the trans-Arctic shipping market

Autor: MacDonald, Lewis

This analysis assesses the population levels, degree of shelter, and water depth of 150 ports in the Arctic region and considers port likelihood of development in the context of a growing trans-Arctic shipping market which is expected to grow substan

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______463::cfc35ece09b094574329751d3aba8929
http://hdl.handle.net/1842/35475