The rest of this page is still being written
A research project for my BSc Computer Science dissertation. Supervised by Nhat Pham. A final grade of 93% was achieved on this project.
This post and GitHub repository may continue to receive updates.
Methods and Results
- Will be written here soon
Dissertation Report
View the dissertation report: LINK
Publications
- The preliminary results of this study was accepted into the 2024 MobiUK Wearable and Ubiquitous Systems Research Symposium and was presented:
Epileptic seizure detection with Tiny Machine Learning
Loic Lorente Lemoine, Nhat Pham, MobiUK 2024 - Sixth UK Mobile, Wearable and Ubiquitous Systems Research Symposium
View the abstract: LINK View the presentation slides: LINK
Awards
- A short poster featuring the results of the study was submitted to a Cardiff University and Vietnam National University Student Poster Competition on “AI, Smart Healthcare, and IoT” and won first prize:
First Prize, Student Poster Competition on “AI, Smart Healthcare, and IoT”
Global Wales, Cardiff University and Vietnam National University - Ho Chi Minh University of Technology
View the poster: LINK
- I was presented with the “Best Final Year Project” award at my graduation:
Best Final Year Project, BSc Computer Science and Variants
Cardiff University, School of Computer Science and Informatics