Visakan Kadirkamanathan
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View article: Quantifying the local strain energy density distribution in the mouse tibia: the critical role of the loading direction
Quantifying the local strain energy density distribution in the mouse tibia: the critical role of the loading direction Open
Understanding how bone adapts to external forces is fundamental for exploring potential biomechanical interventions against skeletal diseases. This can be studied preclinically, combining in vivo experiments in rodents and in silico mechan…
View article: BlurRes-UNet: A novel neural network for automated surface characterisation in metrology
BlurRes-UNet: A novel neural network for automated surface characterisation in metrology Open
Surface characterisation is essential in metrology for precise measurement and analysis of surface features, ensuring product quality and compliance with industry standards. Form removal is the primary step in surface characterisation, iso…
View article: A novel framework for elucidating the effect of mechanical loading on the geometry of ovariectomized mouse tibiae using principal component analysis
A novel framework for elucidating the effect of mechanical loading on the geometry of ovariectomized mouse tibiae using principal component analysis Open
Introduction Murine models are used to test the effect of anti-osteoporosis treatments as they replicate some of the bone phenotypes observed in osteoporotic (OP) patients. The effect of disease and treatment is typically described as chan…
View article: Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation
Unlocking freeform structured surface denoising with small sample learning: Enhancing performance via physics-informed loss and detail-driven data augmentation Open
View article: Individualized survival predictions using state space model with longitudinal and survival data
Individualized survival predictions using state space model with longitudinal and survival data Open
Monitoring disease progression often involves tracking biomarker measurements over time. Joint models (JMs) for longitudinal and survival data provide a framework to explore the relationship between time-varying biomarkers and patients’ ev…
View article: Domain Adaptation for Fault Detection in Civil Nuclear Plants
Domain Adaptation for Fault Detection in Civil Nuclear Plants Open
Recent domain adaptation approaches have been shown to generalise well between distant data domains achieving high performance in machine fault detection through time series classification. An interesting aspect of this transfer-learning i…
View article: Distributed digital twins for health monitoring: resource constrained aero-engine fleet management
Distributed digital twins for health monitoring: resource constrained aero-engine fleet management Open
Sensed data from high-value engineering systems is being increasingly exploited to optimise their operation and maintenance. In aerospace, returning all measured data to a central repository is prohibitively expensive, often causing useful…
View article: The loading direction dramatically affects the mechanical properties of the mouse tibia
The loading direction dramatically affects the mechanical properties of the mouse tibia Open
Introduction: The in vivo tibial loading mouse model has been extensively used to evaluate bone adaptation in the tibia after mechanical loading treatment. However, there is a prevailing assumption that the load is applied axially to the t…
View article: Blurres-Unet: A Novel Neural Network for Automated Surface Characterisation in Metrology
Blurres-Unet: A Novel Neural Network for Automated Surface Characterisation in Metrology Open
View article: Unlocking Freeform Structured Surface Denoising with Small Sample Learning: Enhancing Performance Via Physics-Informed Loss and Detail-Driven Data Augmentation
Unlocking Freeform Structured Surface Denoising with Small Sample Learning: Enhancing Performance Via Physics-Informed Loss and Detail-Driven Data Augmentation Open
View article: Economic control of next generation aerospace fleets
Economic control of next generation aerospace fleets Open
Engineering machines are becoming increasingly complex and possess more control variables, increasing the complexity and versatility of the control systems. Different configurations of the control system, named a policy, can result in simi…
View article: Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification
Interpretable Deep Learning for Nonlinear System Identification Using Frequency Response Functions With Ensemble Uncertainty Quantification Open
Deep learning methods contain powerful tools for modelling nonlinear dynamic systems. However, whilst these models are useful for predicting outputs, they tend to be described by complicated black box equations that lack interpretability. …
View article: Issue Information
Issue Information Open
No abstract is available for this article.
View article: Guidance on the use of complex systems models for economic evaluations of public health interventions
Guidance on the use of complex systems models for economic evaluations of public health interventions Open
To help health economic modelers respond to demands for greater use of complex systems models in public health. To propose identifiable features of such models and support researchers to plan public health modeling projects using these mod…
View article: Through-life Monitoring of Resource-constrained Systems and Fleets
Through-life Monitoring of Resource-constrained Systems and Fleets Open
A Digital Twin (DT) is a simulation of a physical system that provides information to make decisions that add economic, social or commercial value. The behaviour of a physical system changes over time, a DT must therefore be continually up…
View article: A non-iterative approach to Linear Quadratic Static Output Feedback
A non-iterative approach to Linear Quadratic Static Output Feedback Open
This paper considers the problem of static output feedback (SOF) synthesis for linear timeinvariant (LTI) systems. Static output feedback, and more generally structured controller synthesis, is of special interest to any industrial applica…
View article: Estimation of potential field environments from heterogeneous behaviour of sensing agents
Estimation of potential field environments from heterogeneous behaviour of sensing agents Open
This paper proposes a novel modelling framework for estimating the global potential field from trajectories of multiple sensing agents whose perception of the unknown field is subject to abrupt changes. We derive a parametrised formulation…
View article: A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes
A probabilistic framework for product health monitoring in multistage manufacturing using Unsupervised Artificial Neural Networks and Gaussian Processes Open
The emergence of highly instrumented manufacturing systems has enabled the paradigm of smart manufacturing that provides high levels of prognostics functionality. Of particular interest is to precisely determine geometric conformance or no…
View article: Non‐negative matrix factorisation of Raman spectra finds common patterns relating to neuromuscular disease across differing equipment configurations, preclinical models and human tissue
Non‐negative matrix factorisation of Raman spectra finds common patterns relating to neuromuscular disease across differing equipment configurations, preclinical models and human tissue Open
Raman spectroscopy shows promise as a biomarker for complex nerve and muscle (neuromuscular) diseases. To maximise its potential, several challenges remain. These include the sensitivity to different instrument configurations, translation …
View article: A material system with integrated fault diagnosis and feedback controlled self‐healing
A material system with integrated fault diagnosis and feedback controlled self‐healing Open
Summary Two significant drawbacks of current self‐healing materials are that they are: (1) Passive and as such do not guarantee a match between the healing and damage rate; (2) Not monitored during and after healing, so that the performanc…
View article: Tensor electrical impedance myography identifies bulbar disease progression in amyotrophic lateral sclerosis
Tensor electrical impedance myography identifies bulbar disease progression in amyotrophic lateral sclerosis Open
Objective biomarkers for the assessment of bulbar disease in ALS are lacking. Tensor EIM enhances the biomarker potential of EIM data and can improve bulbar symptom monitoring in clinical trials.
View article: A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts
A two-step machining and active learning approach for right-first-time robotic countersinking through in-process error compensation and prediction of depth of cuts Open
Robotic machining processes are characterised by errors arising from the limitations of the industrial robots. These robot-related errors can compromise the overall manufacturing process performance, resulting in final products with dimens…
View article: A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing
A Bayesian information fusion approach for end product quality estimation using machine learning and on-machine probing Open
There is an increasing demand for manufacturing processes to improve product quality and production rates while minimising the costs. The quality of the products is influenced by several sources of errors introduced during the series of ma…
View article: Label-free fibre optic Raman spectroscopy with bounded simplex-structured matrix factorization for the serial study of serum in amyotrophic lateral sclerosis
Label-free fibre optic Raman spectroscopy with bounded simplex-structured matrix factorization for the serial study of serum in amyotrophic lateral sclerosis Open
We demonstrate the use of a fibre optic fluid cell to undertake spontaneous Raman spectroscopy. Advanced advanced matrix factorisation is then applied to identify key spectral patterns with potential improvements to clinical trial design.
View article: In-flight Novelty Detection with Convolutional Neural Networks
In-flight Novelty Detection with Convolutional Neural Networks Open
Gas turbine engines are complex machines that typically generate a vast amount of data, and require careful monitoring to allow for cost-effective preventative maintenance. In aerospace applications, returning all measured data to ground i…
View article: CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin
CycleStyleGAN-Based Knowledge Transfer for a Machining Digital Twin Open
Digitalisation of manufacturing is a crucial component of the Industry 4.0 transformation. The digital twin is an important tool for enabling real-time digital access to precise information about physical systems and for supporting process…
View article: Metaparametric Neural Networks for Survival Analysis
Metaparametric Neural Networks for Survival Analysis Open
Survival analysis is a critical tool for the modelling of time-to-event data, such as life expectancy after a cancer diagnosis or optimal maintenance scheduling for complex machinery. However, current neural network models provide an imper…
View article: Positive interactions of mechanical loading and PTH treatments on spatio-temporal bone remodelling
Positive interactions of mechanical loading and PTH treatments on spatio-temporal bone remodelling Open
Osteoporosis is one of the most common skeletal diseases, but current therapies are limited to generalized antiresorptive or anabolic interventions, which do not target regions that would benefit from improvements to skeletal health. To im…
View article: An interpretable machine learning based approach for process to areal surface metrology informatics
An interpretable machine learning based approach for process to areal surface metrology informatics Open
Surface metrology parameters represent an important class of design variables, which can be controlled because they represent the DNA or fingerprint of the whole manufacturing chain as well as form important predictors of the manufactured …
View article: Tensor electrical impedance myography identifies clinically relevant features in amyotrophic lateral sclerosis
Tensor electrical impedance myography identifies clinically relevant features in amyotrophic lateral sclerosis Open
Objective. Electrical impedance myography (EIM) shows promise as an effective biomarker in amyotrophic lateral sclerosis (ALS). EIM applies multiple input frequencies to characterise muscle properties, often via multiple electrode configur…