首页|Researchers from Ohio State University Discuss Findings in Machine Learning (Sac charide Concentration Prediction From Proxy Ocean Samples Analyzed Via Infrared Spectroscopy and Quantitative Machine Learning)
Researchers from Ohio State University Discuss Findings in Machine Learning (Sac charide Concentration Prediction From Proxy Ocean Samples Analyzed Via Infrared Spectroscopy and Quantitative Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Columbus, Ohio, by NewsRx journalists, research stated, “Solvated organics in the ocean arepresent in re latively small concentrations but contribute largely to ocean chemical diversity and complexity.Existing in the ocean as dissolved organic carbon (DOC) and enr iched within the sea surface microlayer(SSML), these compounds have large impac ts on atmospheric chemistry through their contributions tocloud nucleation, ice formation, and other climatological processes.”
ColumbusOhioUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningOhio State University