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A Machine Learning Model for the Prediction of Concrete Penetration by the Ogive Nose Rigid Projectile

In recent years, research interest has been revolutionized to predict the rigid projectile penetration depth in concrete. The concrete penetration predictions persist, unsettled, due to the complexity of phenomena and the continuous development of revolutionized statistical techniques, such as machi...

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Autori principali: Qadir Bux alias Imran Latif, Zubair Ahmed Memon, Zafar Mahmood, Mohsin Usman Qureshi, Abdalrhman Milad
Natura: Artigo
Lingua:Inglês
Pubblicazione: MDPI AG 2022-02-01
Serie:Applied Sciences
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Accesso online:https://www.mdpi.com/2076-3417/12/4/2040
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