首页|Findings on Machine Learning Discussed by Investigators at Industrial University of Santander (Predicting the Geothermal Gradient In Colombia: a Machine Learning Approach)
Findings on Machine Learning Discussed by Investigators at Industrial University of Santander (Predicting the Geothermal Gradient In Colombia: a Machine Learning Approach)
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 out of Bucaramanga, Colombia, by NewsRx editors, research stated, “Accurately determiningthe geothermal grad ient is crucial for assessing geothermal energy potential. In Colombia, despite anabundance of theoretical geothermal resources, large regions of the country l ack gradient measurements.”Financial support for this research came from Vicerrectoria de Investigacion y E xtension-UniversidadIndustrial de Santander.
BucaramangaColombiaSouth AmericaCy borgsEmerging TechnologiesMachine LearningIndustrial University of Santand er
NETL
NSTL
