首页|Reports from National Remote Sensing Center Advance Knowledge in Machine Learnin g (Global Surface Ocean Total Alkalinity Estimation: the Machine Learning Approa ch)

Reports from National Remote Sensing Center Advance Knowledge in Machine Learnin g (Global Surface Ocean Total Alkalinity Estimation: the Machine Learning Approa ch)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingfrom Hyderabad, India, by New sRx correspondents, research stated, “Exploring the intricaciesof ocean acidifi cation (OA), this study conducts a comprehensive investigation of global surface oceantotal alkalinity (TA) estimation using advanced machine learning (ML) mod els. The global surface oceanquality-controlled in situ measurements, such as s ea surface salinity (SSS), sea surface temperature (SST),and nitrate (Ni), acqu ired from the Global Ocean Data Analysis Project (GLODAP) were utilized for thestudy.”

HyderabadIndiaAsiaCyborgsEmergin g TechnologiesMachine LearningNational Remote Sensing Center

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.14)