首页|Reports on Machine Learning Findings from Technical University of Denmark (DTU)Provide New Insights (Developing Correction Factors for Weather’s Influence On t he Energy Efficiency Indicators of Container Ships Using Model-based Machine Lea rning)
Reports on Machine Learning Findings from Technical University of Denmark (DTU)Provide New Insights (Developing Correction Factors for Weather’s Influence On t he Energy Efficiency Indicators of Container Ships Using Model-based Machine Lea rning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning.According to news originating from Kongens Lyngby, Denmark, by N ewsRx correspondents, research stated, “The International Maritime Organization employs technical and operational indicators to assess ship energy efficiency.W eather conditions significantly impact ship fuel consumption during voyages, nec essitating the consideration of this influence in energy efficiency calculations .”Financial supporters for this research include Project company for sharing data and valuable knowledge, Danish Maritime Fund.
Kongens LyngbyDenmarkEuropeCyborgsEmerging TechnologiesMachine LearningTechnical University of Denmark (DTU)
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