首页|Alberta Geological Survey Reports Findings in Machine Learning (Evaluating spati ally enabled machine learning approaches to depth to bedrock mapping, Alberta, C anada)
Alberta Geological Survey Reports Findings in Machine Learning (Evaluating spati ally enabled machine learning approaches to depth to bedrock mapping, Alberta, C anada)
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 - New research on Machine Learning is th e subject of a report. According to newsreporting from Edmonton, Canada, by New sRx journalists, research stated, “Maps showing the thicknessof sediments above the bedrock (depth to bedrock, or DTB) are important for many geoscience studie sand are necessary for many hydrogeological, engineering, mining, and forestry applications. However, itcan be difficult to accurately estimate DTB in areas w ith varied topography, like lowland and mountainousterrain, because traditional methods of predicting bedrock elevation often underestimate or overestimatethe elevation in rugged or incised terrain.”
EdmontonCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesEngineeringMachine Learning
NETL
NSTL
