activity
20222025
most citedMachine learning for industrial sensing and control: A survey and practical perspective

78 citations · 84 across the 10 of their papers we have counts for

collaborators

8 papers

physics.med-ph20231 cited

Ultrafast 3-D Super Resolution Ultrasound using Row-Column Array specific Coherence-based Beamforming and Rolling Acoustic Sub-aperture Processing: In Vitro, In Vivo and Clinical Study

Joseph Hansen-Shearer, Jipeng Yan, Marcelo Lerendegui +8

The row-column addressed array is an emerging probe for ultrafast 3-D ultrasound imaging. It achieves this with far fewer independent electronic channels and a wider field of view…

eess.SY2023

Surrogate Empowered Sim2Real Transfer of Deep Reinforcement Learning for ORC Superheat Control

Runze Lin, Yangyang Luo, Xialai Wu +4

The Organic Rankine Cycle (ORC) is widely used in industrial waste heat recovery due to its simple structure and easy maintenance. However, in the context of smart manufacturing in…

eess.SY2023

Robust MPC with Zone Tracking

Zhiyinan Huang, Jinfeng Liu, Biao Huang

We propose a robust nonlinear model predictive control design with generalized zone tracking (ZMPC) in this work. The proposed ZMPC has guaranteed convergence into the target zone…

cs.LG20231 cited

Estimation of minimum miscibility pressure (MMP) in impure/pure N2 based enhanced oil recovery process: A comparative study of statistical and machine learning algorithms

Xiuli Zhu, Seshu Kumar Damarla, Biao Huang

Minimum miscibility pressure (MMP) prediction plays an important role in design and operation of nitrogen based enhanced oil recovery processes. In this work, a comparative study o…

eess.IV2023

Acceleration-Based Kalman Tracking for Super-Resolution Ultrasound Imaging in vivo

Biao Huang, Jipeng Yan, Megan Morris +3

Super-resolution ultrasound can image microvascular structure and flow at sub-wave-diffraction resolution based on localising and tracking microbubbles. Currently, tracking microbu…

cs.LG2022

A Transferable Multi-stage Model with Cycling Discrepancy Learning for Lithium-ion Battery State of Health Estimation

Yan Qin, Chau Yuen, Xunyuan Yin +1

As a significant ingredient regarding health status, data-driven state-of-health (SOH) estimation has become dominant for lithium-ion batteries (LiBs). To handle data discrepancy a…