首页|New Findings on Machine Learning Described by Investigators at Concordia Univers ity (Hygrothermal Modeling In Mass Timber Constructions: Recent Advances and Mac hine Learning Prospects)
New Findings on Machine Learning Described by Investigators at Concordia Univers ity (Hygrothermal Modeling In Mass Timber Constructions: Recent Advances and Mac hine Learning Prospects)
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 – Investigators publish new report on Ma chine Learning.According to news reporting out of Montreal, Canada, by NewsRx e ditors, research stated, “This review paper provides a comprehensive overview of hygrothermal modeling with a focus on its application in mass timber constructi on, a sustainable and innovative construction approach.The first part of the re view investigates the recent advancements in modeling heat and moisture transfer in wood-based materials, focusing on the key factors that influence moisture tr ansport in wood.”
MontrealCanadaNorth and Central Amer icaCyborgsEmerging TechnologiesMachine LearningConcordia University
NETL
NSTL
