Molecular modelling encompasses all theoretical methods and computational techniques used to mimic and study the structure and behaviour of molecules, ranging from small chemical systems to large ...

Cellular dynamics are intrinsically noisy, so mechanistic models must incorporate stochasticity if they are to adequately model experimental observations. As well as intrinsic stochasticity in gene ...

This work aims to provide an introductory concept of Topic modelling a branch of Natural Language Processing (NLP) in the medical field. Topic modelling also known as the unsupervised machine learning ...

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 ...

In recent years, the importance of accessible and inclusive technologies has increasingly supported people with disabilities. However, prior studies on the adoption of technology remain fragmented, ...

Abstract: This work describes the design and analysis of an activity for teaching mathematical modelling in first-year Linear Algebra courses using the “Lights Out!” game. A cohort of 106 engineering ...