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This research project, part of the Gates Foundation’s global health initiative, involves detailed chemical and biological analysis of liquid and solid waste from innovative toilet systems. Students will handle real human waste samples to develop robust protocols for solid and liquid waste...
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. State-of-the-art digital models and AI tools that incorporate machine learning could enable predictions of the dry fibre forming that are subsequently used as input into the RTM process model. The EngD
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-Adapted Transformer Model incorporating Hybrid Linguistic-Contextual and Anomaly-based features. To evaluate the model against traditional and general deep learning models using comprehensive de facto
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