Abstract: This paper presents an unsupervised topic modelling framework based on Latent Dirichlet Allocation (LDA) for mining competency requirements in STEM fields. The framework applies a ...

LSTM-based models for predicting relativistic electron flux in the Van Allen radiation belts. Accompanying code and trained checkpoints for the manuscript submitted to Space Weather. Three energy ...

ABSTRACT: The rapid growth and advancement in new technologies are creating a challenging environment for businesses. The adoption of Artificial Intelligence (AI) is placing many companies in a tough ...

The Python extension now supports multi-project workspaces, where each Python project within a workspace gets its own test tree and Python environment. This document explains how multi-project testing ...

Abstract: This paper proposes a model for the topic modelling of tweets in the health and mental health domain using the Latent Dirichlet Allocation (LDA) method. The data were obtained from the ...