... operations are inefficient, less automated and highly experience-dependent. marine transportation reinforcement learning operation process rotation speed china government cutter suction dredger pump speed artificial intelligence traverse rope speed right traverse rope speed control method...

... fluctuations. Sun et al. (2020) analyzed their full-scale ship self-propulsion performance by applying a discretized propeller. Their results agree well with the sea trial data, primarily when roughness and free surface are addressed. marine transportation propeller propeller model cfd simulation...

... confirmed through the checking results. asia government social responsibility marine transportation china government sustainable development artificial intelligence freight & logistics services machine learning ship coefficient sustainability europe government resistance short wave...

... Propulsion Systems in power classes beginning at 125 [kW] up to 6500 [kW] input power. sustainability freight & logistics services marine transportation united states government upstream oil & gas social responsibility production control heat transfer coefficient reynolds number axial...

... asia government artificial intelligence ship marine transportation operational data correlation europe government machine learning coefficient imputation method matrix raw operational data consumption performance evaluation imputation prediction database neural network freight...

... result marine transportation machine learning nonparametric modeling accuracy prediction accuracy ABSTRACT In this paper, a novel construction method of variable vectors based on sensitivity analysis for nonparametric modeling of ship maneuvering motion is proposed to improve the prediction...

... of ship design. Therefore, in this paper, a low-fidelity CFD solver based on the Neumann-Michell (NM) theory (Huang et al., 2013; Noblesse et al., 2013; Yang et al., 2013) is used to optimize hull form for reduced total resistance in calm water. marine transportation optimization problem upstream...

... planning algorithm meeting the needs of navigation. asia government artificial intelligence algorithm neural network evolutionary algorithm great circle route marine transportation optimization problem machine learning coupling optimization consumption model fuel consumption model...

... of ship emission pollution control, and has issued the first national standards on ship engine emission control (Xiao and Yang, 2021). air emission marine transportation united states government sustainability emission asia government north america government emission factor consumption...

... focusing on the frictional parameters of the cargoes and the loads during transverse ship motion. coefficient transverse acceleration bulk cargo marine transportation freight & logistics services internal load shear stress bottom plate coefficient increase japan government friction...

... characteristics of a modified tug ‘WillLead I’. marine transportation model test ship china government hydrodynamic derivative wuhan university different drift angle asia government captive model test mathematical model maneuverability maneuvering prediction engineering fluid dynamics drift...

... is the key input in mooring analysis. To data,relevant reference research on environment drag coefficient of container vessel in China is rarely reported. And there is no specific guideline for container vessel to select mooring pattern and mooring rope combination. marine transportation sub-sea...

... tests. japan government drifting angle tug simulation united states government hydrodynamic performance marine transportation china government engineering harbor tug flow field development bilge keel asia government ocean engineering drift angle hydrostatic pressure ship hull...

... large design spaces without actually conducting the physical tests/simulations of those combinations to arrive at optimised design parameters. deep learning stern flap asia government artificial intelligence marine transportation neural network machine learning experiment dnn cusanelli...

... marine transportation pressure sensor convolution integral motion-free test frequency response function pressure distribution diffraction test kashiwagi power spectrum density function asia government dynamometer fbg pressure sensor japan government diffraction problem response...

... social responsibility ship requirement asia government sustainable development waterway marine transportation china government ship type bandwidth sustainability freight & logistics services wujiang river cargo ship maneuverability energy efficiency clean energy ship type...

... neural network hull form regression model prediction result marine transportation prediction artificial intelligence coefficient model test prediction model deep learning machine learning power prediction test data open water characteristic ship propeller wake fraction section...

... performance upstream oil & gas artificial intelligence asia government machine learning marine transportation gaussian process regression voyage index 14 external condition mf-gpr actual sea means modeling & simulation ship wave height prediction wave direction wind speed target ship...

.... drift angle numerical simulation hydrodynamic performance maneuverability asia government pressure distribution resistance coefficient marine transportation simulation froude number starboard side maneuvering motion model china government different drift angle escort tug piaggio drift...

... optimization marine transportation china government bayesian optimization surrogate model new sample point optimal solution reservoir simulation optimization algorithm asia government parallel efficient global optimization algorithm iteration artificial intelligence ei function kriging model...