首页|New Machine Learning Findings from ICFAI University Tripura Described (A General ized Explainable Approach To Predict the Hardened Properties of Self-compacting Geopolymer Concrete Using Machine Learning Techniques)
New Machine Learning Findings from ICFAI University Tripura Described (A General ized Explainable Approach To Predict the Hardened Properties of Self-compacting Geopolymer Concrete Using Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting originating in Agartala, Indi a, by NewsRx journalists, research stated, “In this study, ensemble machine lear ning (ML) models are employed to estimate the hardened properties of Self- Compa cting Geopolymer Concrete (SCGC). The input variables affecting model developmen t include the content of the SCGC such as the binder material, the age of the sp ecimen, and the ratio of alkaline solution.”
AgartalaIndiaAsiaCyborgsEmerging TechnologiesMachine LearningICFAI University Tripura
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