Zobrazeno 1 - 10
of 1 245
pro vyhledávání: '"ais data"'
Autor:
Britt van Leeuwen, Maike Nutzel
Publikováno v:
Machine Learning with Applications, Vol 18, Iss , Pp 100590- (2024)
Maritime security is of tremendous importance in countering drug trafficking, particularly through sea-based routes. In this paper, we address the pressing need for effective detection methods by introducing a novel approach utilizing Automatic Ident
Externí odkaz:
https://doaj.org/article/2771046e97da462aaaf4a4eb3e0a217e
Publikováno v:
IEEE Access, Vol 12, Pp 92718-92732 (2024)
This study addresses the challenges of effectively reflecting maritime traffic flows in Korea’s MSP. Maritime traffic intensity zones were identified through a spatio-temporal density analysis and the application of standardization techniques. This
Externí odkaz:
https://doaj.org/article/78127af5d18d4ea695f39494f0da68a0
Publikováno v:
IEEE Access, Vol 12, Pp 92253-92267 (2024)
As new forms of industries emerge in marine spaces due to global environmental protection trends and the promotion of recreational activities, traditional navigation areas for vessels are also being affected. To ensure safe vessel passage and effecti
Externí odkaz:
https://doaj.org/article/830379cd7bf64fa792d4e03bfdd2769c
Publikováno v:
Water, Vol 16, Iss 21, p 3036 (2024)
The increasing congestion in major global maritime routes poses significant threats to international maritime safety, exacerbated by the proliferation of large, high-speed vessels. To improve the detection of abnormal ship behavior, this research emp
Externí odkaz:
https://doaj.org/article/948c710867fb48f6ba900b8485f96bf9
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1775 (2024)
Inland waterway transport is an important mode of transportation for many countries and regions. Route planning optimization can reduce navigation time, avoid traffic congestion, and improve transportation efficiency. In actual operations, many vesse
Externí odkaz:
https://doaj.org/article/1a9b1aa3d3444dce8273b5ca758e7c24
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1875 (2024)
Accurate prediction of ship traffic flow is essential for developing intelligent maritime transportation systems. To address the complexity of ship traffic flow data in the port and the challenges of capturing its dynamic spatiotemporal dependencies,
Externí odkaz:
https://doaj.org/article/efb0c8170ca64743ba09ac9980df8518
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1695 (2024)
Utilizing time-series data from ship trajectories to forecast their subsequent movement is crucial for enhancing the safety within maritime traffic environments. The application of deep learning techniques, leveraging Automatic Identification System
Externí odkaz:
https://doaj.org/article/3b3cf22511204a46a64ff113f06104aa
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8484 (2024)
The continuous growth of global trade and maritime transport has significantly heightened the challenges of managing ship traffic in port waters, particularly within fairways. Effective traffic management in these channels is crucial not only for ens
Externí odkaz:
https://doaj.org/article/df49134f872f4f66ad26c2fa0b15ce18
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 9, p 1508 (2024)
Warming weather has led to melting sea ice, and increasingly complex global geopolitics has drawn more countries’ attention to the Arctic. The Arctic Northeast Passage, as an emerging route connecting Eurasia, has seen a sharp increase in vessel ac
Externí odkaz:
https://doaj.org/article/56b0bfc27bc3445b8d8c6e7c1bea9bac
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