Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject Deep Learning
Showing results 1 to 10 of 10
| Issue Date | Title | Author(s) |
| 2024 | Advancing medical image segmentation & generalization by capturing global context & mitigating negative knowledge transfer across multi-source data | Nchongmaje, Ndipenoch |
| 2024 | Echo state networks in forecasting chaotic dynamics and emergent universalities | Grublys, Mykolas |
| 2024 | Enhancing online clothing retail with generative AI: Innovations in virtual try-on and beyond | Islam, Tasin |
| 2025 | Graph signal representations for EEG analysis and machine learning classification | Selçuk, Cengiz |
| 2025 | Machine learning methods for AI-enhanced DCE-MRI breast cancer diagnosis | Berchiolli, Marco |
| 2021 | Predicting business failure using artificial intelligence system | Allozi, Yaser |
| 2023 | Safe training of traffic assistants for detection of dangerous accidents | Li, Yifan |
| 2018 | SMEConvNet: A Convolutional Neural Network for Spotting Spontaneous Facial Micro-Expression from Long Videos | Zhang, Z; Chen, T; Meng, H; Liu, G; Fu, X |
| 2023 | Towards an automatic camera trap pipeline | Evans, Benjamin C. |
| 2025 | User-centred artificial intelligence for game design and development with GAGeTx: Graphical Asset Generation and Transformation | Fukaya, Kaisei |
