Yuanlin Gu
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View article: Using GHT-ICP2D machine vision to improve automated robotic sorting in industrial applications
Using GHT-ICP2D machine vision to improve automated robotic sorting in industrial applications Open
Automated sorting is a critical step in industrial manufacturing, particularly when dealing with cluttered and unordered mass-produced workpieces. Machine vision-based sorting system demonstrated substantial processing capability and econo…
View article: Light‐Driven Rotational Control of Ferrofluid Liquid Marbles in Magneto‐Optical Traps for Optical and Acoustic Modulation
Light‐Driven Rotational Control of Ferrofluid Liquid Marbles in Magneto‐Optical Traps for Optical and Acoustic Modulation Open
Optically induced rotation relies on dynamic optical forces acting on microscopic particles via spatiotemporal light modulation, angular momentum transfer, or recoil forces. However, rotating macroscopic particles using light fields with i…
View article: Modelling Short-Term Appliance Energy Use with Interpretable Machine Learning: A System Identification Approach
Modelling Short-Term Appliance Energy Use with Interpretable Machine Learning: A System Identification Approach Open
The modelling and analysis of appliance energy use (AEU) of residential buildings are important for energy consumption control, energy management and maintenance, building performance evaluation, and so on. Although some traditional machin…
View article: Incorporating clinical parameters to improve the accuracy of angiography-derived computed fractional flow reserve
Incorporating clinical parameters to improve the accuracy of angiography-derived computed fractional flow reserve Open
Aims Angiography-derived fractional flow reserve (angio-FFR) permits physiological lesion assessment without the need for an invasive pressure wire or induction of hyperaemia. However, accuracy is limited by assumptions made when defining …
View article: Utilising clinical data to personlaise boundary conditions significantly improves the accuracy of angiography based virtual FFR
Utilising clinical data to personlaise boundary conditions significantly improves the accuracy of angiography based virtual FFR Open
Background Angiography-derived computed (virtual) fractional flow reserve (vFFR) permits the assessment of coronary physiology without the need for a pressure wire or hyperaemia. However, accuracy is limited by assumptions made about coron…
View article: Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithm
Multi-objective microservice deployment optimization via a knowledge-driven evolutionary algorithm Open
For the deployment and startup of microservice instances in different resource centres, we propose an optimization problem model based on the evolutionary multi-objective theory. The objective functions of the model consider the computatio…
View article: Nonlinear Modeling of Cortical Responses to Mechanical Wrist Perturbations Using the NARMAX Method
Nonlinear Modeling of Cortical Responses to Mechanical Wrist Perturbations Using the NARMAX Method Open
It provides new insights into the human sensorimotor nervous system in response to somatosensory inputs and paves the way for future translational studies on assessments of sensorimotor impairments using our modeling approach.
View article: Revealing certainties from uncertainties through data mining and data modelling
Revealing certainties from uncertainties through data mining and data modelling Open
View article: Table of contents
Table of contents Open
Image processing
View article: System Identification and Data‐Driven Forecasting of AE Index and Prediction Uncertainty Analysis Using a New Cloud‐NARX Model
System Identification and Data‐Driven Forecasting of AE Index and Prediction Uncertainty Analysis Using a New Cloud‐NARX Model Open
Severe geomagnetic storms caused by the solar wind disturbances have harmful influences on the operation of modern equipment and systems. The modeling and forecasting of AE index are extremely useful to understand the geomagnetic substorms…
View article: Significant Indicators and Determinants of Happiness: Evidence from a UK Survey and Revealed by a Data-Driven Systems Modelling Approach
Significant Indicators and Determinants of Happiness: Evidence from a UK Survey and Revealed by a Data-Driven Systems Modelling Approach Open
This study aims to establish a quantitative relationship between lifestyle and happiness in the UK based on over 10,000 surveyed samples with 63 lifestyle variables from the UK Understanding Society Data. Transparent parametric models are …
View article: Nonlinear predictive model selection and model averaging using information criteria
Nonlinear predictive model selection and model averaging using information criteria Open
This paper is concerned with the model selection and model averaging problems in system identification and data-driven modelling for nonlinear systems. Given a set of data, the objective of model selection is to evaluate a series of candid…