activity
20182026
most citedDesign optimisation of piezoelectric energy harvesters for bridge infrastructure

4 citations · 6 across the 10 of their papers we have counts for

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5 papers · 1 filter

eess.AS2026

Boundary-Free Contextual Biasing: Depth-Adaptive Gating and Reading-Space Matching for Unsegmented Languages

Muhammad Huzaifah, Yu Pan, Zachary Yeo +2

Contextual biasing supplies an ASR system with a list of expected words at inference time, but existing methods rely on word boundaries that Japanese and Chinese do not provide. We…

cs.LG2026

An extended deep energy method for thermo-mechanical crack propagation

Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4

Thermo-mechanical fracture couples transient heat conduction on a cracked domain with a crack that grows as the temperature and the displacement evolve. Neural energy solvers have…

cs.LG2026

A Vehicle-Integrated Approach to Digital Twin Deployment for Bridges Through Drive-By Sensing

Zihao Liu, Daigo Kawabe, Jiaji Wang +2

Ageing bridge infrastructure is a growing global concern, yet conventional Structural Health Monitoring (SHM) systems are costly and difficult to scale, and routine visual inspecti…

eess.SP2026

A Vehicle-Integrated Approach to Digital Twin Deployment for Bridges

Mehri Alamdari, Zihao Liu, Jiaji Wang +2

The project A Vehicle Integrated Approach to Digital Twin Deployment for Bridges is developing a scalable framework for bridge condition assessment using vibration measurements fro…

cs.LG2026

A mesh-free multiresolution deep energy method with phase-field modeling of brittle fracture

Han Zhang, Mehrisadat Makki Alamdari, Babak Shahbodagh +4

Phase-field modeling of brittle fracture removes the need to track cracks explicitly by recasting their evolution as the minimization of an energy functional. In return it requires…