2 papers
physics.app-ph2025
Physical learning in reprogrammable metamaterials for adaptation to unknown environments
Kai Jun Chen, Catherine Catrambone, Christopher Sowinski +5
Reprogrammable mechanical metamaterials, composed of a lattice of discretely adaptive elements, are emerging as a promising platform for mechanical intelligence. To operate in unkn…
q-bio.OT2024
Machine Learning Models for Dengue Forecasting in Singapore
Zi Iun Lai, Wai Kit Fung, Enquan Chew
With emerging prevalence beyond traditionally endemic regions, the global burden of dengue disease is forecasted to be one of the fastest growing. With limited direct treatment or…