Climate change has become a growing problem globally, and the analysis of datasets to identify patterns and anomalous behaviour with
Category: Data Science
Tracing historical paths: An intelligent AR guide
This study focuses on investigating the use of artificial intelligence (AI) techniques and technologies in a smartphone experience to assist
Using evolutionary algorithms for DFA learning
Grammatical inference is the task of learning a formal grammar or class description from a set of training examples. This
Predicting links in a social network based on recognised personalities
Link prediction has become a ubiquitous presence in online social networks (OSNs). A prominent example is the ‘People You May
Analysis of police-violence records through text mining techniques
This research applies data mining techniques to the ‘Mapping Police Violence’ dataset, which provides information on every individual killed by
Automatic crime information gathering and data analytics from online news reports
One of the major challenges encountered by law enforcement entities is the prioritisation and rostering of resources, with a view
Movie recommendations using machine learning algorithms
In today’s advancing technology, the use of the internet is growing day by day. Hence, has become more important than
Using unsupervised and supervised machine learning to discover discrepancies between the two counter-circulating beams of the Large Hadron Collider
The function of the Large Hadron Collider (LHC) is to allow hadrons (e.g. protons, neutrons) to collide at great speed,
Identifying bottlenecks in operational workflows at the Accident & Emergency Department at Mater Dei Hospital
Operational research is an important subfield of applied mathematics that provides decision-makers with quantitative information derived from mathematical modelling and