首页|Southeast University Researcher Updates Understanding of Machine Learning (Prediction of Hydration Heat for Diverse Cementitious Composites through a Machine Learning-Based Approach)
Southeast University Researcher Updates Understanding of Machine Learning (Prediction of Hydration Heat for Diverse Cementitious Composites through a Machine Learning-Based Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on artificial intelligence. According to news originating from Nanjing, People’s Republic of China, by NewsRx correspondents, research stated, “Hydration plays a crucial role in cement composites, but the traditional methods for measuring hydration heat face several limitations.”
Southeast UniversityNanjingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning