Amanote Research

Amanote Research

    RegisterSign In

A Data-Driven Vessel Motion Model for Offshore Access Forecasting

doi 10.1109/oceanse.2019.8867176
Full Text
Open PDF
Abstract

Available in full text

Date

June 1, 2019

Authors
Ciaran GilbertJethro BrowellDavid McMillan
Publisher

IEEE


Related search

Kinematic Model of Vessel Motion

Vestnik Gosudarstvennogo universiteta morskogo i rechnogo flota imeni admirala S. O. Makarova
2017English

Santa Ana Associated Offshore Fog : Forecasting With a Sequential Model.

1977English

A New Forecasting Model for Nonstationary Environmental Data

Nonlinear Analysis, Theory, Methods and Applications
Applied MathematicsAnalysis
2009English

Model-Driven System for Operational Forecasting of River Flooding

Вестник Российской академии наук
2019English

A NOx Emission Forecasting Model Using Multiresolution LSSVM Based on Data-Driven and SF-KPCA

DEStech Transactions on Engineering and Technology Research
2017English

Forecasting Success via Early Adoptions Analysis: A Data-Driven Study

PLoS ONE
Multidisciplinary
2017English

Towards Data-Driven Weather and Climate Forecasting: Approximating a Simple General Circulation Model With Deep Learning

Geophysical Research Letters
EarthPlanetary SciencesGeophysics
2018English

Statistical Forecasting for Offshore Wind Helicopter Operations

2014English

Comparison of Two Data-Driven Approaches for Daily River Flow Forecasting

2011English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy