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.
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| Issue Date | Title | Author(s) |
|---|---|---|
| 2021 | Predicting business failure using artificial intelligence system | Allozi, Yaser |
| 2023 | Safe training of traffic assistants for detection of dangerous accidents | Li, Yifan |
| 2024 | Enhancing online clothing retail with generative AI: Innovations in virtual try-on and beyond | Islam, Tasin |
| 2023 | Towards an automatic camera trap pipeline | Evans, Benjamin C. |
| 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 crime prediction with machine vision: Convolutional neural network approach | Akinmuyisitan, Taiwo Marcus |