Abstract: The creation of data-driven models for classification problems requires increasing transparency and inferential explainability, especially in high-stakes domains such as health-care, finance ...

Purpose: This study aims to investigate the current state of AI literacy, identify critical skill gaps, and evaluate the effectiveness of training strategies for driving successful AI-driven ...

Mohali: Undergraduate girl students experience slightly higher levels of stress related to future careers compared to boys, a comparative study publis.

Abstract: Nonlinear dynamical probabilistic latent variable model (NDPLVM) and its variants, essential in industrial inferential sensors, face challenges in latent space inference and deep learning ...