首页|Zhejiang University Reports Findings in Machine Learning (Satellite-Based Global Sea Surface Oxygen Mapping and Interpretation with Spatiotemporal Machine Learning)
Zhejiang University Reports Findings in Machine Learning (Satellite-Based Global Sea Surface Oxygen Mapping and Interpretation with Spatiotemporal Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is the subject of a report. According to news reportingout of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “The assessmentof dissolved oxygen (DO) concentration at the sea surface is essential for comprehending the global oceanoxygen cycle and associated environmental and biochemical processes as it serves as the primary site forphotosynthesis and sea-air exchange. However, limited comprehensive measurements and imprecise numericalsimulations have impeded the study of global sea surface DO and its relationship with environmentalchallenges.”
HangzhouPeople’s Republic of ChinaAsiaChalcogensCyborgsEmerging TechnologiesMachine Learning
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