首页|New Findings on Machine Learning from University of Toledo Summarized (Predictin g Wetland Soil Properties Using Machine Learning, Geophysics, and Soil Measureme nt Data)
New Findings on Machine Learning from University of Toledo Summarized (Predictin g Wetland Soil Properties Using Machine Learning, Geophysics, and Soil Measureme nt Data)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Investigators discuss new findings in Machine Lea rning. According to news reporting originating from Toledo, Ohio, by NewsRx corr espondents, research stated, “Machine learning models can improve the prediction of spatial variation of wetland soil properties, such as soil moisture content (SMC) and soil organic matter (SOM). Their performance, however, relies on the q uantity of data used to train the model, limiting their use with insufficient da ta.”
ToledoOhioUnited StatesNorth and C entral AmericaCyborgsEmerging TechnologiesGeophysicsMachine LearningPh ysicsUniversity of Toledo
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