首页|New Machine Learning Findings from National Polytechnic School Discussed (Assess ment of Trimodal Wave Spectral Parameters Using Machine Learning Methods and Ves sel Response Statistics To Enhance Safety of Marine Operations)
New Machine Learning Findings from National Polytechnic School Discussed (Assess ment of Trimodal Wave Spectral Parameters Using Machine Learning Methods and Ves sel Response Statistics To Enhance Safety of Marine Operations)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning.According to news originating from Quito, Ecuador, by NewsRx correspo ndents, research stated, “Safe execution of a Marine operation (MO) depends on a ccurate values of operational limits and forecasting quality of environmental pa rameters, especially wave spectral parameters (significant wave height, peak per iod, and peak direction).Since offshore sites are generally characterized by th e presence of more than one wave system e.g.wind seas and swells, it becomes ch allenging to assess accurate multimodal spectral parameters.”
QuitoEcuadorSouth AmericaCyborgsEmerging TechnologiesMachine LearningNational Polytechnic School
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