首页|Reports Summarize Machine Learning Findings from University of Alaska Anchorage [Complexity of Arctic Ocean Water Isotope (D18o, D2h) Spatial and Temporal Patterns Revealed With Machine Learning]
Reports Summarize Machine Learning Findings from University of Alaska Anchorage [Complexity of Arctic Ocean Water Isotope (D18o, D2h) Spatial and Temporal Patterns Revealed With Machine Learning]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating in Anchor age, Alaska, by NewsRx journalists, research stated, “The stableisotope composi tions of water (618O, 62H, deuterium-excess) are important tracers that help ill uminatethe changing Arctic water cycle and how Arctic-sourced water can influen ce lower latitudes. We presentsimultaneous boundary layer water vapor and ocean water isotope data that were measured continuouslyin the western Arctic Ocean. ”
AnchorageAlaskaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesInorganic ChemicalsIsotop esMachine LearningUniversity of Alaska Anchorage
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