首页|Research Results from Arctic University of Norway (UiT) Update Understanding of Machine Learning (A Machine Learning Model for Prediction of Marine Icing)
Research Results from Arctic University of Norway (UiT) Update Understanding of Machine Learning (A Machine Learning Model for Prediction of Marine Icing)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New study results on artificial intell igence have been published. According to news reporting out of Narvik, Norway, b y NewsRx editors, research stated, “Marine icing due to freezing sea spray has b een attributed to many safety incidences.” Our news reporters obtained a quote from the research from Arctic University of Norway (UiT): “Prediction of sea spray icing is necessary for operational safety , design optimization, and structural health. In general, lack of detailed full- scale measurements due to the complexity and costs make validation difficult. Th e next best option is that of controlled laboratory experiments. The current stu dy is the first study in the field of sea spray icing that investigates the use of new data science technologies like machine learning and feature engineering f or the prediction of sea spray icing based on data collected from controlled lab oratory experiments. A new prediction model dubbed “Spice” is proposed. Spice is designed “bottom-up” from experimentally collected data, and thus, if the input variables are accurately known, it could be said to be highly accurate within t he tested range compared to existing theoretical models.”
Arctic University of Norway (UiT)Narvi kNorwayEuropeCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
