首页|Recent Research from Hebei University of Technology Highlight Findings in Machin e Learning (A New Understanding of the Alkalisilica Reaction Expansion In Concr ete Using a Hybrid Ensemble Model)

Recent Research from Hebei University of Technology Highlight Findings in Machin e Learning (A New Understanding of the Alkalisilica Reaction Expansion In Concr ete Using a Hybrid Ensemble Model)

扫码查看
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news reporting out of Tianjin, People’s Rep ublic of China, by NewsRx editors, research stated, “Alkali-Silica Reaction (ASR ) is a critical issue affecting the durability of concrete structures, leading t o significant long-term maintenance costs and safety concerns. This study addres ses the need for accurate prediction of ASR-induced expansion in concrete, lever aging advanced machine learning techniques.”

TianjinPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningHebei University of Technol ogy

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Nov.4)