首页|New Findings from Lund University in Machine Learning Provides New Insights (Spa tial Machine Learning for Exploring the Variability In Low Height-for-age From S ocioeconomic, Agroecological, and Climate Features In the Northern Province of R wanda)
New Findings from Lund University in Machine Learning Provides New Insights (Spa tial Machine Learning for Exploring the Variability In Low Height-for-age From S ocioeconomic, Agroecological, and Climate Features In the Northern Province of R wanda)
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 Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Lund, Sweden, by NewsRx correspond ents, research stated, “Childhood stunting is a serious public health concern in Rwanda. Although stunting causes have been documented, we still lack a more in- depth understanding of their local factors at a more detailed geographic level.” Financial supporters for this research include Norwegian Agency for Development Cooperation - NORAD, Lund University, University of Rwanda, SIDA-Rwanda Bilatera l Programme.
LundSwedenEuropeCyborgsEmerging TechnologiesMachine LearningRisk and PreventionLund University
NETL
NSTL
