Junn Yong Loo

Orcid: 0000-0001-9370-600X

According to our database1, Junn Yong Loo authored at least 11 papers between 2019 and 2024.

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Bibliography

2024
Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles.
IEEE Trans. Intell. Veh., January, 2024

2023
A Zero-Shot Soft Sensor Modeling Approach Using Adversarial Learning for Robustness Against Sensor Fault.
IEEE Trans. Ind. Informatics, April, 2023

Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems.
CoRR, 2023

Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes.
CoRR, 2023

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.
CoRR, 2023

Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Robust estimation of traffic density with missing data using an adaptive-R extended Kalman filter.
Appl. Math. Comput., 2022

2021
Predictive Uncertainty Estimation Using Deep Learning for Soft Robot Multimodal Sensing.
IEEE Robotics Autom. Lett., 2021

2020
Future trends in I&M: Indirect sensing in soft robots using observers/filters.
IEEE Instrum. Meas. Mag., 2020

2019
Non-linear System Identification and State Estimation in a Pneumatic Based Soft Continuum Robot.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

H-infinity based Extended Kalman Filter for State Estimation in Highly Non-linear Soft Robotic System.
Proceedings of the 2019 American Control Conference, 2019


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