摘要
由一名新闻记者兼机器人与机器学习的新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者在意大利阿尔卡瓦卡塔迪伦德的新闻报道，研究表明：“地震事件发生后，海啸预警系统(TEWSs)试图准确预测海岸前方特定目标点的最大西波高度，因此，可以在海啸波影响可能难以为这些地区提供即时事后管理援助的地方发出早期预警。预测的不确定性可以通过一系列替代情景来量化。这项研究的财政支持者包括欧洲高性能计算联合企业(JU)、欧盟(EU)、PNRR MUR项目、MIUR-意大利科学研究部根据PRIN 2017计划。
Abstract
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 reporting originating in Arcavacata di Rende, Italy, by NewsRx journalists, research stated, “After a seismic event, tsunami e arly warning systems (TEWSs) try to accurately forecast the maximum height of in cident waves at specific target points in front of the coast, so that early warn ings can be launched on locations where the impact of tsunami waves can be destr uctive to deliver aids in these locations in the immediate postevent management. The uncertainty on the forecast can be quantified with ensembles of alternative scenarios.” Financial supporters for this research include European High-Performance Computi ng Joint Undertaking (JU), European Union (EU), PNRR MUR project, PNRR MUR proje ct, MIUR - Italian Ministry for Scientific Research under the PRIN 2017 program.
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