首页|Reports Summarize Machine Learning Study Results from Free University of Bozen ( Modelling the Effective Thermal Conductivity and Porosity of an Open-cell Materi al Using an Image-based Technique Coupled With Machine Learning)
Reports Summarize Machine Learning Study Results from Free University of Bozen ( Modelling the Effective Thermal Conductivity and Porosity of an Open-cell Materi al Using an Image-based Technique Coupled With 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 – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Bolzano, Italy, by NewsRx editors, the research stated, “Effective thermal conductivity isconside red one of the most important parameters in the characterization of insulating m aterials. Theeffective thermal conductivity of open-cell porous materials is in fluenced by both their microstructure andthe types of solid and fluid phases pr esent.”
BolzanoItalyEuropeCyborgsEmergin g TechnologiesMachine LearningFree University of Bozen