Reference health
Investigation of Ship Energy Consumption Based on Neural Network
49/49 checkable references clean · checked 2026-09-10
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
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The 23 references without a DOI — listed, not checked
no DOI — not checkedPrediction of harbour vessel fuel consumption based on machine learning approach
no DOI — not checkedImprovement of hull form for an 1,800 TEU containership toward reduced fuel consumption under in-service conditions
no DOI — not checkedAnalysis of energy efficiencies of in-port ferries and island passenger-ships and improvement policies to reduce CO2 emissions
no DOI — not checkedWaste cooking oil biodiesel via hydrodynamic cavitation on a diesel engine performance and greenhouse gas footprint reduction
no DOI — not checkedApplying an improved particle swarm optimization algorithm to ship energy saving
no DOI — not checkedBenefits of slow steaming in realistic sailing conditions along different sailing routes
no DOI — not checkedModel predictive control framework for green and smart tug escorting
no DOI — not checkedA modified LM algorithm for tensor complementarity problems over the circular cone
no DOI — not checkedModelling of ship resistance and power consumption for the global fleet: The MariTEAM model
no DOI — not checkedA Study on Green Shipping in Major Countries
no DOI — not checkedEvaluation of green strategies in maritime liner shipping using evolutionary game theory
no DOI — not checkedCalculations of fractional derivative option pricing models based on neural network
no DOI — not checkedRBF neural network modeling approach using PCA based LM-GA optimization for coke furnace system
no DOI — not checkedref46
no DOI — not checkedEffects of container ship speed on CO2 emission, cargo lead time and supply chain costs
no DOI — not checkedref48
no DOI — not checked2023c. Novel ship fuel consumption modelling approaches for speed and trim optimisation: Using engine data as auxiliary
no DOI — not checkedAutomated model discovery for muscle using constitutive recurrent neural networks
no DOI — not checkedDevelopment of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship
no DOI — not checkedA new absorbent system for reducing chlorine gas escape and enhancing pollutants removal during ship exhaust wet scrubbing
no DOI — not checkedref70
no DOI — not checkedPredicting ship fuel consumption using a combination of metocean and on-board data
no DOI — not checkedApplication of self-adapting regularization, machine learning tools and limits in Levenberg-Marquardt algorithm to solve CNLS problem
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