首页|Findings in Machine Learning Reported from University of Baghdad (Power Predicti ng for Power Take-Off Shaft of a Disc Maize Silage Harvester Using Machine Learn ing)
Findings in Machine Learning Reported from University of Baghdad (Power Predicti ng for Power Take-Off Shaft of a Disc Maize Silage Harvester Using Machine Learn ing)
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 - Researchers detail new data in artificial intelli gence. According to news originating from Baghdad,Iraq, by NewsRx correspondent s, research stated, “The relationship between the power consumed in theengine a nd the power take-off shaft of a maize silage harvester is critical to understan ding the efficiencyand performance of the harvester.”
University of BaghdadBaghdadIraqAs iaAlgorithmsCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
