Integrated satellite-terrestrial networks toward 6G: Architectures, applications, and challenges
With the increasing global communication demands and the development of Internet of
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Things (IoT), extending the connectivity to rural and remote areas has become imperative for …
Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things
The maritime Internet of Things (IoT) has recently emerged as a revolutionary
communication paradigm where a large number of moving vessels are closely …
communication paradigm where a large number of moving vessels are closely …
A new method of inland water ship trajectory prediction based on long short-term memory network optimized by genetic algorithm
L Qian, Y Zheng, L Li, Y Ma, C Zhou, D Zhang - Applied Sciences, 2022 - mdpi.com
Ship position prediction plays a key role in the early warning and safety of inland waters and
maritime navigation. Ship pilots must have in-depth knowledge of the future position of their …
maritime navigation. Ship pilots must have in-depth knowledge of the future position of their …
[HTML][HTML] A machine learning method for the evaluation of ship grounding risk in real operational conditions
Ship groundings may often lead to damages resulting in oil spills or ship flooding and
subsequent capsizing. Risks can be estimated qualitatively through experts' judgment or …
subsequent capsizing. Risks can be estimated qualitatively through experts' judgment or …
Unsupervised hierarchical methodology of maritime traffic pattern extraction for knowledge discovery
Owing to the space–air–ground integrated networks (SAGIN), seaborne ship** has
attracted increasing interest in the research on the motion behavior knowledge extraction …
attracted increasing interest in the research on the motion behavior knowledge extraction …
A deep learning method for the prediction of 6-DoF ship motions in real conditions
This paper presents a deep learning method for the prediction of ship motions in 6 Degrees
of Freedom (DoF). Big data streams of Automatic Identification System (AIS), now-cast, and …
of Freedom (DoF). Big data streams of Automatic Identification System (AIS), now-cast, and …
Fine-grained vessel traffic flow prediction with a spatio-temporal multigraph convolutional network
The accurate and robust prediction of vessel traffic flow is gaining importance in maritime
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
intelligent transportation system (ITS), such as vessel traffic services, maritime spatial …
From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …
demand for even faster communication networks, we expected to witness the birth of a new …
Future outlook on 6G technology for renewable energy sources (RES)
As the renewable energy sources (RES) continues to grow in power system due to
emissions decarbonisation and sustainability policies, a fast and reliable connection …
emissions decarbonisation and sustainability policies, a fast and reliable connection …