A tool combining full hydrodynamic modeling with a bespoke evolutionary algorithm to optimize blue-green infrastructure for reducing urban flood vulnerability at property scale.
Generalizable machine learning for stress monitoring from wearable devices: A sys- tematic literature review
2 Pith papers cite this work. Polarity classification is still indexing.
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Wearable sensor data converted to visual embeddings and aggregated via attention MIL predicts perceived stress in elderly oncology patients with moderate accuracy (R² 0.24-0.28).
citing papers explorer
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Optimising Urban Flood Resilience
A tool combining full hydrodynamic modeling with a bespoke evolutionary algorithm to optimize blue-green infrastructure for reducing urban flood vulnerability at property scale.
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Stress Estimation in Elderly Oncology Patients Using Visual Wearable Representations and Multi-Instance Learning
Wearable sensor data converted to visual embeddings and aggregated via attention MIL predicts perceived stress in elderly oncology patients with moderate accuracy (R² 0.24-0.28).