首页|New Machine Learning Study Findings Have Been Reported by Investigators at University of Utah (Examining the Nonlinear Effects of Neighborhood Housing Plus Transportation Affordability On Shared Dockless E-scooter Trips Using Machine Learning ...)
New Machine Learning Study Findings Have Been Reported by Investigators at University of Utah (Examining the Nonlinear Effects of Neighborhood Housing Plus Transportation Affordability On Shared Dockless E-scooter Trips Using Machine Learning ...)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news reportingoriginating in Salt Lake City, Utah, by NewsRx journalists, research stated, “Despite the growing popularityand benefits of shared dockless e-scooters, there is controversy over whether this is an affordable travelmode for everyone. This paper explores the nonlinear relationship between shared dockless e-scooters andthe location affordability of neighborhoods.”
Salt Lake CityUtahUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniversity of Utah
NETL
NSTL
