FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312473695> ?p ?o ?g. }

• W4312473695 endingPage "100072" @default.
• W4312473695 startingPage "100072" @default.
• W4312473695 abstract "Automatic Identification System (AIS) was initially developed for tracking ships and avoiding collisions. As numerous small satellites were launched in recent years, millions of AIS messages are captured by these satellite AIS providers every day. The massive amount of data allow shipping firms and port operators to better predict vessels’ movement. In this study, a computational framework is developed to predict future trajectories and destinations of vessels by applying deep learning to the satellite AIS messages containing self-reporting positioning data. We employed deep learning approaches for large-scale maritime prediction and identifies the most suitable deep neural networks for this specific application. Three prediction models, Convolutional Neural Networks (CNN), Dense Neural Networks (DNN), and Long Short-Term Memory (LSTM) have been tested in the framework. A multi-task learning architecture is implemented based on test results. Through sharing parameters while training, this architecture enables long-term destination predictions by balancing short-term trajectory predictions. The framework is validated globally with the experiments covering five large-scale sea areas. The experimental results demonstrate that the LSTM model with an average accuracy percentage of 85.1% outperforms the CNN and DNN with accuracy percentages of 68.3% and 78.2% respectively. The LSTM model with multi-task architecture can achieve an accuracy of 87.0%. With the proposed computational framework, AIS data can be utilized for maritime predictions, supporting more complex marine applications and covering more expansive geographic areas." @default.
• W4312473695 created "2023-01-05" @default.
• W4312473695 creator A5004785718 @default.
• W4312473695 creator A5005189605 @default.
• W4312473695 creator A5007701856 @default.
• W4312473695 creator A5009102669 @default.
• W4312473695 creator A5053607801 @default.
• W4312473695 creator A5053707351 @default.
• W4312473695 creator A5055091576 @default.
• W4312473695 date "2022-01-01" @default.
• W4312473695 modified "2023-10-04" @default.
• W4312473695 title "A multi-task learning-based framework for global maritime trajectory and destination prediction with AIS data" @default.
• W4312473695 cites W1991651582 @default.
• W4312473695 cites W2054162061 @default.
• W4312473695 cites W2083442964 @default.
• W4312473695 cites W2101924284 @default.
• W4312473695 cites W2126194848 @default.
• W4312473695 cites W2143419558 @default.
• W4312473695 cites W2148143831 @default.
• W4312473695 cites W2155653793 @default.
• W4312473695 cites W2208393618 @default.
• W4312473695 cites W2509813992 @default.
• W4312473695 cites W2564170135 @default.
• W4312473695 cites W2740924709 @default.
• W4312473695 cites W2743711613 @default.
• W4312473695 cites W2753820606 @default.
• W4312473695 cites W2802606519 @default.
• W4312473695 cites W2802630450 @default.
• W4312473695 cites W2809127489 @default.
• W4312473695 cites W2809451701 @default.
• W4312473695 cites W2917046039 @default.
• W4312473695 cites W2919115771 @default.
• W4312473695 cites W2946160394 @default.
• W4312473695 cites W2966812659 @default.
• W4312473695 cites W2982564563 @default.
• W4312473695 cites W2997776631 @default.
• W4312473695 cites W3007601803 @default.
• W4312473695 cites W3015961574 @default.
• W4312473695 cites W3045346503 @default.
• W4312473695 cites W3111422958 @default.
• W4312473695 doi "https://doi.org/10.1016/j.martra.2022.100072" @default.
• W4312473695 hasPublicationYear "2022" @default.
• W4312473695 type Work @default.
• W4312473695 citedByCount "2" @default.
• W4312473695 countsByYear W43124736952023 @default.
• W4312473695 crossrefType "journal-article" @default.
• W4312473695 hasAuthorship W4312473695A5004785718 @default.
• W4312473695 hasAuthorship W4312473695A5005189605 @default.
• W4312473695 hasAuthorship W4312473695A5007701856 @default.
• W4312473695 hasAuthorship W4312473695A5009102669 @default.
• W4312473695 hasAuthorship W4312473695A5053607801 @default.
• W4312473695 hasAuthorship W4312473695A5053707351 @default.
• W4312473695 hasAuthorship W4312473695A5055091576 @default.
• W4312473695 hasBestOaLocation W43124736951 @default.
• W4312473695 hasConcept C108583219 @default.
• W4312473695 hasConcept C119857082 @default.
• W4312473695 hasConcept C121332964 @default.
• W4312473695 hasConcept C124101348 @default.
• W4312473695 hasConcept C127413603 @default.
• W4312473695 hasConcept C1276947 @default.
• W4312473695 hasConcept C13662910 @default.
• W4312473695 hasConcept C146978453 @default.
• W4312473695 hasConcept C146997752 @default.
• W4312473695 hasConcept C154945302 @default.
• W4312473695 hasConcept C162324750 @default.
• W4312473695 hasConcept C187736073 @default.
• W4312473695 hasConcept C19269812 @default.
• W4312473695 hasConcept C205649164 @default.
• W4312473695 hasConcept C2778755073 @default.
• W4312473695 hasConcept C2780451532 @default.
• W4312473695 hasConcept C41008148 @default.
• W4312473695 hasConcept C50644808 @default.
• W4312473695 hasConcept C58640448 @default.
• W4312473695 hasConcept C61797465 @default.
• W4312473695 hasConcept C62520636 @default.
• W4312473695 hasConcept C81363708 @default.
• W4312473695 hasConceptScore W4312473695C108583219 @default.
• W4312473695 hasConceptScore W4312473695C119857082 @default.
• W4312473695 hasConceptScore W4312473695C121332964 @default.
• W4312473695 hasConceptScore W4312473695C124101348 @default.
• W4312473695 hasConceptScore W4312473695C127413603 @default.
• W4312473695 hasConceptScore W4312473695C1276947 @default.
• W4312473695 hasConceptScore W4312473695C13662910 @default.
• W4312473695 hasConceptScore W4312473695C146978453 @default.
• W4312473695 hasConceptScore W4312473695C146997752 @default.
• W4312473695 hasConceptScore W4312473695C154945302 @default.
• W4312473695 hasConceptScore W4312473695C162324750 @default.
• W4312473695 hasConceptScore W4312473695C187736073 @default.
• W4312473695 hasConceptScore W4312473695C19269812 @default.
• W4312473695 hasConceptScore W4312473695C205649164 @default.
• W4312473695 hasConceptScore W4312473695C2778755073 @default.
• W4312473695 hasConceptScore W4312473695C2780451532 @default.
• W4312473695 hasConceptScore W4312473695C41008148 @default.
• W4312473695 hasConceptScore W4312473695C50644808 @default.
• W4312473695 hasConceptScore W4312473695C58640448 @default.
• W4312473695 hasConceptScore W4312473695C61797465 @default.
• W4312473695 hasConceptScore W4312473695C62520636 @default.
• W4312473695 hasConceptScore W4312473695C81363708 @default.

• next