Abstract: The aim of this study is to explore the impact of digital transformation on the field of auditing and propose a fraud hexagon model as a comprehensive approach to identifying and preventing ...

Dimensional modelling is one of many data modelling techniques that are used by data practitioners to organize and present data for analytics. Other data modelling techniques include Data Vault (DV), ...

Abstract: In this tutorial brief, we introduce a unified wideband phase-noise theory framework of frequency synthesis based on a multirate timestamp modeling with ...

**Brand new fully updated 2023 version** Power Apps model-driven apps are web-based applications built on your data model - think along the lines of a CRM system, or something you might have built ...

Event Modeling is a method of describing systems using an example of how information has changed within them over time. Specifically this omits transient details and looks at what is durably stored ...

Computational models are mathematical models that are simulated using computation to study complex systems. In biology, one example is the use of a computational model to study an outbreak of an ...