In digital forensics investigations it is sometimes required to sift and analyse a large number of documents submitted as evidence.
Category: Data Science
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
A DFA-learning toolkit
Grammatical inference is the task of finding a formal grammar or class description from a training set. This project is
Scaling protein-motif discovery using tries in Apache Spark
The field of bioinformatics applies computational techniques to biology. This study focuses in particular on proteins, which are large molecules
Assisting a search and rescue mission for lost people using a UAV
Search and rescue (SAR) missions on land are nowadays still being executed on foot or by manned aircraft, including planes
Using COVID-19 pandemic sentiment and machine learning to predict stock-market price direction
The buying and selling of financial instruments, such as stocks and bonds, has for long been an essential activity in
Action preserving diversification of animation sequences
The creation of good animation sequences is a lengthy process, which is typically carried out either using a motion-capture system
Real-time EEG emotion-recognition using prosumer-grade devices
Electroencephalography (EEG) is a biomedical technology that measures brain activity. Apart from being used to detect brain abnormalities, it has
Dashboards for reducing traffic congestion
This work tries to understand what can be done to try and reduce traffic jams in Malta. It looks into