This study aims to design a machine learning model to predict drug addiction. The dataset includes various demographic, psychosocial, and behavioral factors contributing to drug addiction. The ...

In conventional interactive multiple model (IMM) algorithm, the fixed transition probability matrix results in slow model switching and low tracking accuracy. Existing adaptive transition probability ...