首页|U.S. Geological Survey (USGS) Reports Findings in Machine Learning (Predictive Understanding of Stream Salinization in a Developed Watershed Using Machine Learning)
U.S. Geological Survey (USGS) Reports Findings in Machine Learning (Predictive Understanding of Stream Salinization in a Developed Watershed Using Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is the subject of a report. According to news reporting originating in Reston, Virginia, by NewsRx journalists, research stated, “Stream salinization is a global issue, yet few models can provide reliable salinity estimates for unmonitored locat ions at the time scales required for ecological exposure assessments. Machine le arning approaches are presented that use spatially limited high-frequency monitoring and spatially distributed discrete samples to estimate the daily stream-specific conductance across a watershed.”
RestonVirginiaUnited StatesNorth a nd Central AmericaCyborgsEmerging TechnologiesMachine Learning
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