NATURAL GRADIENT BOOSTING FOR PROBABILISTIC PREDICTION OF SOAKED CBR VALUES USING AN EXPLAINABLE ARTIFICIAL INTELLIGENCE APPROACH

Natural Gradient Boosting for Probabilistic Prediction of Soaked CBR Values Using an Explainable Artificial Intelligence Approach

The California bearing ratio (CBR) value of subgrade is the most used parameter for dimensioning flexible and rigid pavements.The test Coats for determining the CBR value is typically conducted under soaked conditions and is costly, labour-intensive, and time-consuming.Machine learning (ML) techniques have been recently implemented in engineering p

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Electromagnetic effects in anti-Hermitian media with gain and loss

Coats Incorporating both gain and loss into electromagnetic systems provides possibilities to engineer effects in unprecedented ways.Concerning electromagnetic effects in isotropic media that have concurrently electric and magnetic responses, there is, in fact, a degree of freedom to distribute the gain and loss in different effective material para

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