Car manufacturers are building vehicles with a greater emphasis on connectivity, thus making them more convenient – but also more
Category: 2021
Implementations of the state-merging operator in DFA learning
DFA learning is the process of identifying a minimal deterministic finite-state automaton (DFA) from a training set of strings. The
Predicting blood glucose levels using machine learning techniques with metaheuristic optimisers.
The human body keeps blood glucose levels within safe limits naturally. However, this is not the case for persons with
A model to improve low-dose CT scan images
A computed tomography (CT) scan provides detailed cross-sectional images of the human body using X-rays. With the increased use of
A domain-specific language for the internet of things in the retail sector
In recent years, there has been a marked rise in the need for data analysis. This is partly due to
Enhancing stock-price-prediction models by using concept drift detectors
The problem of making predictions on the stock market has been extensively studied by market analysts, investors, as well as
Procedurally generating game content with the use of L-Systems
Modern-day game projects rely on teams of highly skilled, multidisciplinary teams, which include story writers and graphic designers. These projects
Automatic user profiling for intelligent tourist-trip personalisation
Travelling for leisure is very popular, as indicated by an estimated 1.4 billion tourist arrivals globally in 2019, according to
Indoor navigation and dynamic obstacle-avoidance in assistive contexts, using low-cost wearable devices and beacon technologies
With today’s advancing technology, the number of persons making use of navigation devices has increased significantly. While outdoor navigation systems