Gait analysis is the systematic study of walking patterns. Typically, expensive and intrusive marker- based methods, in conjunction with multiple
Category: Abstracts
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,
Learning Models using Similarity Based and One vs Previous Paradigms
Classification between two classes of objects is a common- use case for the creation of machine learning models. The general
Rethinking the bug-tracking paradigm
In modern development processes, the bug-tracking tool is one of the most important means of tracking any tasks, features or bugs
Teaching AI through Augmented Reality
Artificial intelligence (AI) has pervasively penetrated every aspect of our life, impacting the way society operates in general [1]. Such
Computational Mobility in JavaScript
The aim of this project is to build and evaluate a JavaScript framework that would facilitate the migration of both
Implementation of an electric guitar pedal on an FPGA
Implementing real-time digital signal processing could be computationally expensive when developed as software to be run on a generic computer
Investigating the use of genetic algorithms in automated test-case generation
Search-based Software Testing (SBST) is the reformulation of the test case generation problem as a search problem encountered when seeking
GAImE – Investigating Game AI for Enhanced User Experience
Over the last few decades, the business of digital and video games has risen exponentially. Game artificial intelligence (AI)in particular