A cross-industry consensus paper lays out a five-level maturity model, modeling and sensor requirements, and risk-based validation guidance for deploying...

Researchers developed an object-centered laser scanning and meshing protocol that produces sub-millimeter 3D digital models of individual wildland fuel particles...

Researchers extended Eclipse Ditto digital twins into shared information contracts for IoT software updates, correctly identifying vulnerable, updated and failed...

A new open-access study proposes a communication-allocation framework that ranks edge perception queries by their expected value for maintaining semantic...

A new review traces how corneal finite element models evolved from idealized shapes into patient-specific digital twins that now inform...

A 24-month ethnographic study of Danish and Swedish municipalities finds that urban digital twins and 3D city models face fragmented...

A scoping review of thirty studies finds digital twin technology increasingly applied in heart failure monitoring, arrhythmia prediction, telecardiology and...

A new on-device digital twin framework decides which location queries to release and how much privacy noise to spend, cutting...

Carnegie Mellon researchers show that pruning Bayesian networks with domain-driven metrics outperforms purely statistical methods for multi-model calibration in aerospace...

Researchers have developed an open-source, segment-by-segment heat exchanger model that matches industry-standard accuracy while running fast enough for real-time heat...