A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

Blasting is considered an indispensable process in mining excavation operations. Generally, only a small percentage of the total energy of blasting is consumed in the fragmentation and displacement of ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

This leads to iterative learning between support vector regression training and heterogeneous variance modeling. Extensive simulations are implemented to validate the effectiveness of the proposed ...

In this article, a novel machine learning regression-based single-event transient (SET) modeling method is proposed. The proposed method can obtain a reasonable and accurate SET model without ...