[HTML][HTML] Neural network approach for predicting ship speed and fuel consumption

L Moreira, R Vettor, C Guedes Soares - Journal of Marine Science and …, 2021 - mdpi.com
In this paper, simulations of a ship travelling on a given oceanic route were performed by a
weather routing system to provide a large realistic navigation data set, which could …

Applying artificial neural networks for modelling ship speed and fuel consumption

W Tarelko, K Rudzki - Neural computing and applications, 2020 - Springer
This paper deals with modelling ship speed and fuel consumption using artificial neural
network (ANN) techniques. These tools allowed us to develop ANN models that can be used …

Using artificial neural networks for predicting ship fuel consumption

S Rajamohan, K Rudzki, J Kozak, P Sharma… - Polish Maritime …, 2023 - sciendo.com
In marine vessel operations, fuel costs are major operating costs which affect the overall
profitability of the maritime transport industry. The effective enhancement of using ship fuel …

[PDF][PDF] Neural network approach to predict marine traffic

A Daranda - Trans. Balt. J. Mod. Comput, 2016 - academia.edu
The marine traffic has been significantly rising fast during the last period of time. One of the
most important problems for prediction of the marine traffic is to find certain patterns …

On neural network identification for low-speed ship maneuvering model

K Wakita, A Maki, N Umeda, Y Miyauchi… - Journal of Marine …, 2022 - Springer
Several studies on ship maneuvering models have been conducted using captive model
tests or computational fluid dynamics (CFD) and physical models, such as the maneuvering …

Machine learning approaches for ship speed prediction towards energy efficient shipping

M Abebe, Y Shin, Y Noh, S Lee, I Lee - Applied Sciences, 2020 - mdpi.com
As oil prices continue to rise internationally, shipping costs are also increasing rapidly. In
order to reduce fuel costs, an economical shipping route must be determined by accurately …

An Artificial Neural Network for fuel efficiency analysis for cargo vessel operation

ML Fam, ZY Tay, D Konovessis - Ocean Engineering, 2022 - Elsevier
There is increasing interest in understanding fuel consumption from the perspective of
increasing energy efficiency on a vessel. Thus the aim of this paper is to present a new …

Predicting ship trajectory based on neural networks using AIS data

TA Volkova, YE Balykina, A Bespalov - Journal of Marine Science and …, 2021 - mdpi.com
To create an autonomously moving vessel, it is necessary to know exactly how to determine
the current coordinates of the vessel in the selected coordinate system, determine the actual …

An artificial neural network based decision support system for energy efficient ship operations

EB Beşikçi, O Arslan, O Turan, AI Ölçer - Computers & operations research, 2016 - Elsevier
Reducing fuel consumption of ships against volatile fuel prices and greenhouse gas
emissions resulted from international shipping are the challenges that the industry faces …

Ship motion prediction for launch and recovery of air vehicles

A Khan, C Bil, KE Marion - Proceedings of OCEANS 2005 MTS …, 2005 - ieeexplore.ieee.org
Due to the random nature of the ship's motion in an open water environment, the
deployment and the landing of air vehicles from a ship can often be difficult and even …